{
  "cells": [
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pinecone-io/examples/blob/master/learn/search/image/facial-similarity-search/facial-similarity-search.ipynb) [![Open nbviewer](https://raw.githubusercontent.com/pinecone-io/examples/master/assets/nbviewer-shield.svg)](https://nbviewer.org/github/pinecone-io/examples/blob/master/learn/search/image/facial-similarity-search/facial-similarity-search.ipynb)"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "f83llYiUV_dV"
      },
      "source": [
        "# Facial Similarity Search with Pinecone"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zZE1bVj1KnUu"
      },
      "source": [
        "In this notebook, we will demonstrate how to use Pinecone to build an image-based vector search application to discover people with similar facial features. We will:\n",
        "\n",
        "1. Extract faces from a celebrity image dataset\n",
        "2. Convert the faces to embeddings and store them in a Pinecone index (alongside metadata related to the celebrities)\n",
        "3. Query the Pinecone index with an image of a person and find the most similar celebrities\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xSPqEfWUSquF"
      },
      "source": [
        "# Install Dependencies"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "56CDiDnjFF7m"
      },
      "outputs": [],
      "source": [
        "!pip install datasets pinecone-client[grpc] facenet-pytorch requests Pillow"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fGA4gi6bFC-t"
      },
      "source": [
        "# Load Dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JB2BCyrCSwwM"
      },
      "source": [
        "We will use a dataset containing photos of ~115K most popular people on The Movie Database (TMDB). This dataset can be loaded from Huggingface as follows:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 641,
          "referenced_widgets": [
            "e7ecc69560c04ee9aa8ca38966e88446",
            "2f2c45e5e6c44d85a2b87e49c9e66893",
            "b7e6f9fab77a4db598e27f79cb38305b",
            "0b3e8fcf0ad34035907d1382ba53b995",
            "bfe1c1c158614537a238235eef3b2232",
            "e19755b325604608adfcd63ef62a8567",
            "2df224c60384490280c34ab4c6676376",
            "cda0d377637d4f45be920bc9881619a3",
            "1f7f8f8d25e442c2bc238384318081df",
            "d549cef7c84a48c18b0f291978ace54f",
            "ec82dbadade048839b527c21d8222c63",
            "befa9b2c5d7d4d00b061458d7d30e755",
            "99ab11ab9557431ebe0525406df8279f",
            "0bede93f94f545358e8f6d3efcb53657",
            "69d2e576d31a47a2aa1e271c31948e4e",
            "85387eb4f03e4d829edab0e05c22de87",
            "6f767f5952fa43349a7715452fb21ad7",
            "e4caae1814f4432cb2cb070c12098882",
            "81e7241cdfcc46eba5e194844d0de417",
            "a70c22a40d33495bb33a268bfeb51dcd",
            "30082ca665f048eba9c6f7d387c99f44",
            "0dbfe553172d46c091ca40215a051a0d",
            "f633eec643f74bbba07f5ac18643470f",
            "e4f8c5d21626491bb24258d46600b9df",
            "1b45129acd5948828df0950c6a93668e",
            "796000c283f64a6184bff22e626e3a0f",
            "6f342e5c08bf48e7ab67cfff12d7d8ab",
            "689812d8bffa4a87802f03a963698030",
            "b51a647d00084080a1ed9548dab44396",
            "66e621543a304197b41ea2d957c0a691",
            "3fcdd76075c94bd9b678e4a270016ec5",
            "e363d49412bf4a42ba35b93074a02a4a",
            "ea39a49049124b8897da56ba0423b8ba",
            "55224e6e6b9a420ea229ab1f57e9b6f5",
            "595115f2cf174aab969cf15e724bed49",
            "7e416ba6db20434fa03ee20b2095284c",
            "f2c131cc692b46cf99ca99150c2cb37f",
            "02c8f885b0b3402dbb9e2d4cb877d911",
            "a04d0ef5557147cfb8f098edf217b050",
            "cec27c3bb29f44df82fd236a0d5a0976",
            "5f3fb1d5758443ada3778882453d028b",
            "5a664b443c314d2a9a5a3733c848ec58",
            "bf054d68d2bd469ab15212c05114a023",
            "24ac31ce7ce44d8ea5a8014ba0a9731b",
            "a856a9411a2e476cb6994d900979fa43",
            "b9120b20fe77445ea216a08f659d7ca5",
            "3c3f93a0dc4443a99c665127023121c3",
            "a2e3382d44984a4eb6a43d790bb45320",
            "223268a021614544b727e8baab1e4c46",
            "5e69213c3322467cb4979280f995f78b",
            "46d36b3771a04077b44d9e29d689a4a3",
            "ccfee996bbe0434588d5b2217fc04dcd",
            "84191869a2e046138ccecef2192eaa88",
            "d350db6cf77f40848b61762bcc8cf505",
            "638c0a069bdd4857954ed384db6da3d6",
            "dfdb84dd9d77416bbd2b4e45e132efd1",
            "a6a831d2f1494a9ab793c8d4786bc02b",
            "3354a2296125478c958fbf7a0905626d",
            "8b2e1222b7124daf913e8d6317fe41a3",
            "bd4b96db1a0947fcb71ab610f8e1fb75",
            "a1e930ef8b514f8aae6259b712719a43",
            "fdab039f166043488f35bce9968f0199",
            "51c5860b03334113b81187695e693dee",
            "9aa59be43b5b401da28fda4e168bce4c",
            "e1d004ea89a44c17ad87ae5634b01369",
            "44b2d18b9aa44a8ba6c41e64f603eff5",
            "f4df9095ee674a16a9de189f7d8bdf17",
            "9eeea9557c9f4f4eb0970d40a11e8fcd",
            "50708f670c1447f1b8d15fe1262ac821",
            "42eb5aa1201e46c5a23929614a440f7e",
            "caf9e3e46dbe4e97bf585caf20a8c842",
            "3d9c4e250d9b4d9a889e787c56d34d46",
            "d1a566c4827a4a5fb2fe08bd04fa5443",
            "33fa5596e26f489694be62ff4a1b5767",
            "4321cb104c5c4be8bbf2ac262784835a",
            "ebdb98998d724ece81f555399e5893d6",
            "83adca8d9d984daa84556a4bb2c0efe2",
            "8676e4469b65438e883657182da5d984",
            "46cd121ea17844b5ba06460e7c696016",
            "ba950b378256460db5dd36372458fc9d",
            "ac230de8d09242aabe28f5e861cb6282",
            "714252d08aea43bd99e4e778d216db2e",
            "e07d3200d4064849838517293bf06133",
            "1614f7338b384c69b6312c788e1d0f5e",
            "bf835a1ab64141c2a3b1dc58f2012942",
            "802fc20426784db28d2384b4f969ba48",
            "df6fb91b35cb45ffad8ae4df55599e96",
            "691dcc8c159448fd959100ffc5d4f64a",
            "e0e97113b74f46ac932c2c52590183c4",
            "639a78320ee24f29afcbff3b8a220c54",
            "239f29236a114c83baf36b5d665f751c",
            "d1c2a34f88054bc6a3e49f31eafe6e3b",
            "2e28d4e23a7e426caa84a241ed8e256a",
            "d70afb399516480aa811959aa9d0e73f",
            "fcb4b1afe78148fdb83afb3cd701261a",
            "482e8f26bb20499e83ce777e742fc4f4",
            "6872debf8479497a8aa508c983321aa2",
            "9e9154321d9345f59fd968ad248b3dec",
            "b713878a37a6455d8ea6f9d6b255db6c",
            "9440ed6b22cc41ea8fbe27f12a19ce55",
            "694d0ebd404c436d8d267efefd5b0e45",
            "1530531c9ee44941b9d64c4de2b66ace",
            "52ecb044fcc64a40a9ae9d768fdd2239",
            "79e4dc2ed3a64d379240bcb20cbe7b64",
            "42bce9562c15415b8ba2832f38cf3a93",
            "3f4c8373af4c4c3688b2675691a7086f",
            "114e197b8cb1468986643675a7acb48c",
            "831dc8c08bac4a0b8171df8cea718390",
            "05a5ba7fb62a48928f27a91aa244184f",
            "19a87250f7f241e3885156521a858d11",
            "e91ee7ba181743a08f057f3277d9f564",
            "5bf3c03e04ae4c20835a342f4b2af308",
            "f8eaada99fd54f22b8f2ab237ef14d95",
            "c36c1233c65b467abaaf80633191ba0d",
            "9e236c1e08d942878de09da0ba2a5602",
            "36a9017aafe3474a8a3e8603d4e0c82b",
            "dd55732bb8924370afec93dc39a5dfc8",
            "ee7a9349fa9746c1be06fa99bf3659bf",
            "fa06c31ae28f4e74bf8ba8a76b3a19ae",
            "379dd63ae08b486484fd553591368757",
            "b58e16ae6c66430f901407f44c44c0ee",
            "b306386ac3254e47aa17d21fa5ab17e8",
            "d936aadc64a3452dbed2ff0a95212a1d",
            "34c8a74c96aa4e8f80df5bb99afca5fe",
            "e79d57755adc44c99881879e1664717b",
            "016e83d4b3624a85b9ca2b5230ff9727",
            "403221c957f440b3a96e5ddd1483c865",
            "869b9e33230c4f529308cefc95f83e7a",
            "9c705d50635b423f80d4f6d7201d59af",
            "a24d6c5f1f6f428e8f9978795043c92a",
            "d1c0ed04027d46008acb733797c3de60",
            "8c78711c6a7c44ca9faac2dc9bc35f79",
            "bc6ed26f111d44fbbc651389b0758e45",
            "80aadaaa85064f819d1c62c9d3bef67a",
            "4d6bbfe52c554d658eff218a6c132877",
            "13506237ea944187b9402a9572c39869",
            "e62b24a12b5c4f0e89e70cef4e5f5e22",
            "51e72b19ecd549c9aa5efd84f8f50958",
            "4411f37e676a496181f1c1ea11c58f36",
            "af01d46b343342778cd49594ce672c62",
            "e982ab40f3ac4e229f8b2ddcc69ee061",
            "5e0f3c95c85449a8a397496209271ee2",
            "0cc592bdbbd94b13b2ce05c754d7e9e5",
            "57d2b718c52d4213a4bf2d561f3b24dd",
            "53c3a6161e4e4fb792e131df0c4a1bce",
            "6e1a6e709eb348398403e67e7aa367f5",
            "d9d4bb329d8a40dbbba8c4b9d79da84e",
            "443473a66b2048b8b8ad8af11a23edaf",
            "bfdd3c7c52cf400c96d99f8b4067a18c",
            "bd172ded4c1a46f5a71003d0ba784e51",
            "7a5095b699c04b8ea3b559bba1fcd2a3",
            "9d3d11b998a446af9133c03f5bbea11e",
            "40f4db0c497c4e8093d059bb8d259b8a",
            "52253a6ab0cb4b69900c68c01b630db8"
          ]
        },
        "id": "kXObUWb1FPgO",
        "outputId": "06c6e341-8c49-49b8-ac0d-48fb0808255f"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e7ecc69560c04ee9aa8ca38966e88446",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading metadata:   0%|          | 0.00/1.48k [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:datasets.builder:Using custom data configuration ashraq--tmdb-people-image-e6aad5cbcdeb9255\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Downloading and preparing dataset None/None (download: 3.48 GiB, generated: 3.84 GiB, post-processed: Unknown size, total: 7.31 GiB) to /root/.cache/huggingface/datasets/ashraq___parquet/ashraq--tmdb-people-image-e6aad5cbcdeb9255/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "befa9b2c5d7d4d00b061458d7d30e755",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f633eec643f74bbba07f5ac18643470f",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/449M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "55224e6e6b9a420ea229ab1f57e9b6f5",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/429M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "a856a9411a2e476cb6994d900979fa43",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/420M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "dfdb84dd9d77416bbd2b4e45e132efd1",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/411M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f4df9095ee674a16a9de189f7d8bdf17",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/410M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "8676e4469b65438e883657182da5d984",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/405M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e0e97113b74f46ac932c2c52590183c4",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/406M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "9440ed6b22cc41ea8fbe27f12a19ce55",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/401M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e91ee7ba181743a08f057f3277d9f564",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Downloading data:   0%|          | 0.00/402M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:datasets.download.download_manager:Computing checksums of downloaded files. They can be used for integrity verification. You can disable this by passing ignore_verifications=True to load_dataset\n"
          ]
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "b306386ac3254e47aa17d21fa5ab17e8",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Computing checksums:  44%|####4     | 4/9 [00:06<00:07,  1.54s/it]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "bc6ed26f111d44fbbc651389b0758e45",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "57d2b718c52d4213a4bf2d561f3b24dd",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Generating train split:   0%|          | 0/116404 [00:00<?, ? examples/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Dataset parquet downloaded and prepared to /root/.cache/huggingface/datasets/ashraq___parquet/ashraq--tmdb-people-image-e6aad5cbcdeb9255/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "Dataset({\n",
              "    features: ['adult', 'also_known_as', 'biography', 'birthday', 'deathday', 'gender', 'homepage', 'id', 'imdb_id', 'known_for_department', 'name', 'place_of_birth', 'popularity', 'profile_path', 'image'],\n",
              "    num_rows: 116404\n",
              "})"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from datasets import load_dataset\n",
        "\n",
        "# load the dataset\n",
        "celeb_faces = load_dataset(\"ashraq/tmdb-people-image\", split=\"train\")\n",
        "celeb_faces"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vtYJse20veQB"
      },
      "source": [
        "We have got few metadata about the people and their image in the dataset. Let's take a look:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "V6c_aUsuvdoS",
        "outputId": "d7f2c907-94d5-4595-c7a9-1e6ff1eed9cb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'adult': False,\n",
              " 'also_known_as': \"['Thomas Stanley Holland', '\u0422\u043e\u043c \u0425\u043e\u043b\u043b\u0430\u043d\u0434', '\u30c8\u30e0\u30fb\u30db\u30e9\u30f3\u30c9', '\ud1b0 \ud640\ub79c\ub4dc', '\u062a\u0648\u0645 \u0647\u0648\u0644\u0627\u0646\u062f', '\u0e17\u0e2d\u0e21 \u0e2e\u0e2d\u0e25\u0e41\u0e25\u0e19\u0e14\u0e4c', '\u6c64\u59c6\u00b7\u8d6b\u5170\u5fb7', '\u03a4\u03bf\u03bc \u03a7\u03cc\u03bb\u03b1\u03bd\u03c4', '\u0422\u043e\u043c \u0413\u043e\u043b\u043b\u0430\u043d\u0434', '\u6e6f\u59c6\u00b7\u970d\u862d\u5fb7', '\u05d8\u05d5\u05dd \u05d4\u05d5\u05dc\u05e0\u05d3', '\u05ea\u05d5\u05de\u05d0\u05e1 \u05e1\u05d8\u05e0\u05dc\u05d9 \u05d4\u05d5\u05dc\u05e0\u05d3', 'Nh\u1ec7n \u0110\u1ec7 Tam', '\u10e2\u10dd\u10db \u10f0\u10dd\u10da\u10d0\u10dc\u10d3\u10d8']\",\n",
              " 'biography': 'Thomas \"Tom\" Stanley Holland is an English actor and dancer. He is best known for playing Peter Parker / Spider-Man in the Marvel Cinematic Universe and has appeared as the character in six films: Captain America: Civil War (2016), Spider-Man: Homecoming (2017), Avengers: Infinity War (2018), Avengers: Endgame (2019), Spider-Man: Far From Home (2019), and Spider-Man: No Way Home (2021). He is also known for playing the title role in Billy Elliot the Musical at the Victoria Palace Theatre, London, as well as for starring in the 2012 film The Impossible.',\n",
              " 'birthday': '1996-06-01',\n",
              " 'deathday': None,\n",
              " 'gender': 2,\n",
              " 'homepage': None,\n",
              " 'id': 1136406,\n",
              " 'imdb_id': 'nm4043618',\n",
              " 'known_for_department': 'Acting',\n",
              " 'name': 'Tom Holland',\n",
              " 'place_of_birth': 'Surrey, England, UK',\n",
              " 'popularity': 104.302,\n",
              " 'profile_path': 'bBRlrpJm9XkNSg0YT5LCaxqoFMX.jpg',\n",
              " 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=421x632 at 0x7FA4FC04CB50>}"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[10]\n",
        "celeb"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "OUcSTzU5KRVT",
        "outputId": "6d549d98-802c-4c97-c186-e6bd22bd241b"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=200x300 at 0x7FA509E8F790>"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb[\"image\"].resize((200, 300))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z7sLirOBv_Hw"
      },
      "source": [
        "We do not need all these metadata fields. So we will remove the ones we do not need and convert the rest into a pandas dataframe."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "OQlCNVRiB61s"
      },
      "outputs": [],
      "source": [
        "# remove metadata fields not needed, convert into a pandas dataframe\n",
        "metadata = celeb_faces.remove_columns(['adult', 'also_known_as', 'biography', 'deathday', 'gender', 'homepage', 'id', 'imdb_id', 'known_for_department', 'image']).to_pandas()\n",
        "# replace any empty fields with None\n",
        "metadata = metadata.fillna(\"None\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GA8TVwYzz0tp"
      },
      "source": [
        "# Embedding Model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aOC4Fli21cFk"
      },
      "source": [
        "We will use two models: one for extracting faces and another for generating vector embeddings of the face. We're focusing on faces only because using full images would introduce too much noise and result in poor results.\n",
        "\n",
        "For face extraction, we will use MTCNN, which is a popular choice due to its ability to accurately detect and align faces in images despite variations in pose and appearance. We can use a Pytorch implementation of MTCNN with the ``facenet-pytorch`` package. Since the images in our dataset are already in PIL format, we can directly test the MTCNN model, which expects PIL image objects as inputs, as shown below:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FsUUpW09IvW-",
        "outputId": "656fb8de-dc4d-4a32-9cee-dac24de4bddf"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(array([[ 91.4824  , 112.335335, 316.80338 , 409.37723 ]], dtype=float32),\n",
              " array([0.9999924], dtype=float32))"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from facenet_pytorch import MTCNN\n",
        "\n",
        "# initialize the MTCNN model\n",
        "mtcnn = MTCNN()\n",
        "# create a copy of the face\n",
        "img = celeb[\"image\"].copy()\n",
        "# detect face and get coordinates of the face with probability\n",
        "boxes, prob = mtcnn.detect(img)\n",
        "boxes, prob"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gNIgDhS5i2EW"
      },
      "source": [
        "The detect method in MTCNN gives us the coordinates of the face and how confident it was in detecting the face, in this case, with 99% accuracy. Let's draw a rectangle on the image using these coordinates to see if it correctly detected the face."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        },
        "id": "GXb_0R6xUNcd",
        "outputId": "a428dd8b-ba2d-4ca9-d61b-1826f2642db5"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=200x290 at 0x7FA509E8FC40>"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from PIL import Image, ImageDraw\n",
        "\n",
        "# draw a rectangle on the image using coordinates returned by the MTCNN model\n",
        "draw = ImageDraw.Draw(img)\n",
        "draw.rectangle(boxes.reshape((2,2)), width=3)\n",
        "# resize the image to display a smaller size\n",
        "img.resize((200, 290))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "shDTpuYcncPk"
      },
      "source": [
        "As we can see, the model has successfully identified the face. To extract the face, we can crop the image to only include the area within the rectangle, using either ``opencv`` or another package. Alternatively, the ``facenet-pytorch`` package has a function that does this for us and returns the result as Pytorch tensors that can be used as input for the embedding model directly. This can be done as follows:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BrRO8cXqk-y7",
        "outputId": "0631d084-a026-4866-b79f-aa6bd3776eca"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "torch.Size([3, 160, 160])"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# pass the image or batch of images directly through mtcnn model\n",
        "face = mtcnn(img)\n",
        "face.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IXHefc8KqmsC"
      },
      "source": [
        "To generate embeddings, we will use VGGFace2, which is a deep learning model for facial recognition that was trained on the VGGFace2 dataset, which includes more than 3 million images of over 9000 people. The model can be loaded and used as follows:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "e55aba251a8c463387cf4bd4ecc2b02a",
            "4c2c98d692cc4a1697dac6b4693e9ead",
            "3c4445f3aca845bbbe4b04732f107afa",
            "aab824d2551a4dfabb1758435ace8811",
            "01d7576c81f947e2b161ff191b90e4e9",
            "78fc391583694f79909a361bd5d2e49c",
            "fd103e6123aa4eb09e502368c4ba1494",
            "31f48c2152b74696b05d1c31d14b5d75",
            "314e19b7a06040a1b77a770ec6aaded9",
            "4d2718f065e94e189e99e510ba2db092",
            "b6d66b0ee96b41b39dd80026ef4dc845"
          ]
        },
        "id": "Rb5Uv8QnpNpy",
        "outputId": "54afd3c1-4dfa-4bc2-88ba-8ae2a19a43e3"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "e55aba251a8c463387cf4bd4ecc2b02a",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "  0%|          | 0.00/107M [00:00<?, ?B/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/plain": [
              "torch.Size([1, 512])"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from facenet_pytorch import InceptionResnetV1\n",
        "import torch\n",
        "\n",
        "# initialize VGGFace2 model\n",
        "resnet = InceptionResnetV1(pretrained=\"vggface2\").eval()\n",
        "# generate embedding for the face extracted using mtcnn above\n",
        "embedding = resnet(torch.stack([face]))\n",
        "embedding.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c2KCAshuxOoh"
      },
      "source": [
        "We can now generated vector embedding for the face. Let's write a pipeline to easy do all of this in batches."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "2Zg-KniPzzso"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "\n",
        "\n",
        "class FacenetEmbedder:\n",
        "    def __init__(self):\n",
        "        # set device to use GPU if available\n",
        "        self.device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n",
        "        # initialize MTCNN model\n",
        "        self.mtcnn = MTCNN(device=self.device)\n",
        "        # initialize VGGFace2 model\n",
        "        self.resnet = InceptionResnetV1(pretrained='vggface2', device=self.device).eval()\n",
        "\n",
        "    def detect_face(self, batch):\n",
        "        # get coordinates of the face\n",
        "        faces = self.mtcnn.detect(batch)\n",
        "        return faces\n",
        "\n",
        "    def encode(self, batch):\n",
        "        # pass the batch of images directly through mtcnn model\n",
        "        face_batch = self.mtcnn(batch)\n",
        "        # remove any images that does not contain a face\n",
        "        face_batch = [i for i in face_batch if i is not None]\n",
        "        # concatenate face batch to form a single tensor\n",
        "        aligned = torch.stack(face_batch)\n",
        "        # if using gpu move the input batch to gpu\n",
        "        if self.device.type == \"cuda\": \n",
        "            aligned = aligned.to(self.device)\n",
        "        # generate embedding\n",
        "        embeddings = self.resnet(aligned).detach().cpu()\n",
        "        return embeddings.tolist()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "oB8fVx21z7EB"
      },
      "outputs": [],
      "source": [
        "# initialize the embedding pipeline\n",
        "facenet = FacenetEmbedder()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ioaH60AjvenM",
        "outputId": "32b2e2bb-532c-4c0b-9191-0a41dc11082a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "10"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# test the pipeline using a small image batch\n",
        "batch = celeb_faces[10:20][\"image\"]\n",
        "len(facenet.encode(batch))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dIBGZQiRzeEh"
      },
      "source": [
        "We can now simply call the ``encode`` method in the ``FacenetEmbedder`` with a batch of PIL images and it would extract the faces and generate embedding for us. Keep in mind that batch encoding only works if all the images in the batch have the same shape. We can use the following function to reshape a batch of PIL images to ensure it always works."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "swqI6d2Oy-J8"
      },
      "outputs": [],
      "source": [
        "def reshape(batch):\n",
        "    batch = [image.convert(\"RGB\").resize((421, 632)) for image in batch]\n",
        "    return batch"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n-x5KqESLgxv"
      },
      "source": [
        "# Initialize Pinecone Index"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "RR9Vj1MoxjRo"
      },
      "source": [
        "Now we need to set up the Pinecone index, which stores vector representations of our images that can be retrieved using the embedding of another image (called the query vector). Before we can do this, we have to establish a connection to Pinecone using an API key. You can find your environment in the [Pinecone console](https://app.pinecone.io) under **API Keys**. This connection is initialized as follows:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "clJx9NraLi7Z"
      },
      "outputs": [],
      "source": [
        "from pinecone import Pinecone\n",
        "\n",
        "# connect to pinecone environment\n",
        "pinecone.init(\n",
        "    api_key=\"YOUR_API_KEY\",\n",
        "    environment=\"YOUR_ENV\"  # find next to API key in console\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pW9upZZXyZz1"
      },
      "source": [
        "Now, we can create our vector index and name it \"tmdb-people\" (although you can choose any name you like). We specify the metric type as cosine and the dimension as 512, as these are the vector space and dimensionality of the vectors produced by the embedding model we use."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "8Lhjfa7mLmCA"
      },
      "outputs": [],
      "source": [
        "index_name = \"tmdb-people\"\n",
        "\n",
        "# check if the tmdb-people index exists\n",
        "if index_name not in pinecone.list_indexes().names():\n",
        "    # create the index if it does not exist\n",
        "    pinecone.create_index(\n",
        "        index_name,\n",
        "        dimension=512,\n",
        "        metric=\"cosine\"\n",
        "    )\n",
        "\n",
        "# connect to tmdb-people index we created\n",
        "index = pinecone.Index(index_name)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EfggPk_BLdUL"
      },
      "source": [
        "# Generate Embeddings and Upsert"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TOplgoC8B9F1"
      },
      "source": [
        "Next, we need to generate embeddings for the celebrity faces and upload them into the Pinecone index. To do this efficiently, we will process them in batches and upload the resulting embeddings to the Pinecone index. For each celebrity in the dataset, we need to provide Pinecone with a unique id, the corresponding embedding, and metadata. The metadata is a collection of information related to the celebrities, including their name, profile image url, date of birth, etc."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "n9VpUnF9DzRb"
      },
      "outputs": [],
      "source": [
        "from tqdm.auto import tqdm\n",
        "\n",
        "# we will use batches of 64\n",
        "batch_size = 64\n",
        "\n",
        "for i in tqdm(range(0, len(celeb_faces), batch_size)):\n",
        "    # find end of batch\n",
        "    i_end = min(i+batch_size, len(celeb_faces))\n",
        "    # extract batch\n",
        "    batch = celeb_faces[i:i_end][\"image\"]\n",
        "    # reshape the images to ensure they all have same shape\n",
        "    batch = reshape(batch)\n",
        "    # generate embeddings for batch\n",
        "    emb = facenet.encode(batch)\n",
        "    # create unique IDs\n",
        "    ids = [f\"{idx}\" for idx in range(i, i_end)]\n",
        "    # add metadata\n",
        "    meta = metadata[i:i_end].to_dict(orient=\"records\")\n",
        "    # add all to upsert list\n",
        "    to_upsert = list(zip(ids, emb, meta))\n",
        "    # upsert/insert these records to pinecone\n",
        "    _ = index.upsert(vectors=to_upsert)\n",
        "\n",
        "# # check that we have all vectors in index\n",
        "index.describe_index_stats()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3J8dkZ-Y3MDy"
      },
      "source": [
        "We have successfully added everything we need to the Pinecone index."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wqcpAO2pXBUq"
      },
      "source": [
        "# Find Similar Celebrities"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FovEQb_x3hRk"
      },
      "source": [
        "Now we can query the Pinecone index with an embedding of a face and instantly get the celebrities that are most similar. First, let's write a helper functions to query pinecone and display the results."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "RJrVG80Pr8xn"
      },
      "outputs": [],
      "source": [
        "from IPython.core.display import HTML\n",
        "\n",
        "\n",
        "def display_result(metadata):\n",
        "    figures = []\n",
        "    for m in metadata:\n",
        "        figures.append(f'''\n",
        "            <figure style=\"margin: 5px !important;\">\n",
        "                <img src=\"https://image.tmdb.org/t/p/h632/{m[\"profile_path\"]}\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
        "                <figcaption>{m[\"name\"]}</figcaption>\n",
        "            </figure>\n",
        "        ''')\n",
        "    return HTML(data=f'''\n",
        "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
        "        {''.join(figures)}\n",
        "        </div>\n",
        "    ''')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "mTA8I6B4I8fh"
      },
      "outputs": [],
      "source": [
        "def find_similar_faces(face, top_k=10):\n",
        "    # pass the image through the embedding pipeline\n",
        "    emb = facenet.encode([face])\n",
        "    # query pinecone with the face embedding\n",
        "    result = index.query(vector=emb[0], top_k=6, include_metadata=True)\n",
        "    # extract metadata from the search results and display results \n",
        "    r = [x[\"metadata\"] for x in result[\"matches\"]]\n",
        "    return display_result(r)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3cYdH_u7EM2G"
      },
      "source": [
        "Let's run some test queries using celebrity images from the dataset to find other celebrities who look alike."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 257
        },
        "id": "tsoTIR2VIe4b",
        "outputId": "140123cd-58f3-4fa5-d732-0f23175a4a69"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=190x240 at 0x7FA29AF022E0>"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[40][\"image\"]\n",
        "celeb.resize((190,240))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "eYyZf9WI4A2z",
        "outputId": "b236d132-a85a-4421-fa5d-6679aa8d7682"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/dSK2BBupETZYcsO0DfP2OD1AMnT.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Claudia Harrison</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/bHGtm29qlx6OYsgwOq84xd6MRpF.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Sonya Walger</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/6TSe26ctGPvmZRKDgul1Gos6old.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Bettina Mittendorfer</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/2RJ30pPSQQxteuoMjhN1FWTwxlZ.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Julianne Nicholson</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/8Jju93UvSPszRzZ9Glvjp9z2anF.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Aglaia Szyszkowitz</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/duMdWlldESIqFYDpaJNAcLFzTTq.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Hannah Barefoot</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2qr6osr7I4lu"
      },
      "source": [
        "The search result looks good as we can definately see some celebrities with similar facial features. Let's run more queries."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "PC98o_no8U8Y",
        "outputId": "e32b6f11-1e7b-4cc3-ed60-942e61d544f3"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/jpurJ9jAcLCYjgHHfYF32m3zJYm.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Chris Hemsworth</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/As5ujeSSJRQN4TE3odg3kDk0b5o.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Liam Hemsworth</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/jcDCpX5WiH0AkLDpR6ELreIn2Ta.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Ed Hendrik</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/yvo81AU4zUKbcNtWEQjaSTvLTPS.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Chris Reid</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/lLsbZLO0JQPIiaRZTcVYbVxfv4m.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Kenny Doughty</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/6lqQsR2Ot7nYthCGxfKBzmPzyV3.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Christopher Russell</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[35][\"image\"]\n",
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "iydMJm9e6vqB",
        "outputId": "96839e3a-1df1-4ddc-82a3-90d18218556a"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/8dCFK8FDFQbYFZvzAE9IIeaDMKo.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Seung Ha</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/bsSM5aG1T5oXwpcL3glOf0ViNy4.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Shara Lin</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/cVA40E5Pus66fLzq2mWLJDNNtNh.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Yura</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/3JTUzCh3PrbamSBf5M5yxMqbxGY.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Napasorn Weerayuttwilai</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/ksilFsztYt9Ojp2cbMk75nxumOS.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Go Joon-hee</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/kpwv7ozzwUmBaCCgx412CmHqofb.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>An Danwei</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[1][\"image\"]\n",
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "2BiJ8LDL67C-",
        "outputId": "e97a4231-0b60-4aea-aa62-a0158ca79516"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/whNwkEQYWLFJA8ij0WyOOAD5xhQ.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Jason Statham</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/2v1MXtsjWJHqx0U0ATZ5VrBh2dD.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Vladimir Raiman</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/nJXxgwcGdAL5P1KfgcGrjDaCbsY.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Brendan Kelly</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/tnDgEU5q47anoWZJDzzudC678m7.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Scott C. Brown</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/pAkKjbzxP6Z6Y5zAGpwmWQo1iji.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Michael Chiklis</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/8XBU3bsvmPSDTf6d0edNb2eSDpb.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Huw Garmon</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[12][\"image\"]\n",
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "wFtQLYuc7fpj",
        "outputId": "c7596928-f5e0-4be9-b81b-d59ca04fde11"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/kL0lWLJA6lbvmPM3YL0ISE6rVr6.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Joey King</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/gdTcDujkkPIoKtDZrGcbQ2voFI3.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Elva Trill</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/iF9rvJzqepJCxzqQC07OG4bTxEf.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Rosalind Halstead</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/AeYvjBU8swVC9zKS933fX8YsnKt.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Svetlana Svetlichnaya</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/caXilGBPQtpF4nZEPUlDb0UfVnL.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Megan Parkinson</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/IgGOiwSg4qq3OEzXG1LROXTsel.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Clara Ponsot</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[17][\"image\"]\n",
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "RYYuSCQA7thB",
        "outputId": "2583aeac-a0d0-4ea2-a11b-a0977736872b"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/52KsHFCu0LToakebnxqC4VeRixl.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Luke Grimes</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/bkAEduLHkQg1AZmempKPLpoqibA.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Philip Ettinger</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/aE8WEoNAs2PtgUzF6AcGodwLQvy.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Nick Thune</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/fHSGEllSO8O7p5StwFbWr1du7Bw.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Vicente Alves do \u00d3</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/iR0ElrLlagBaGSsOZVphTLbU8TE.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Thomas McDonell</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/yxOUD7RXqwp1EokJqslrJgzI38t.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Irhad Mutic</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[29][\"image\"]\n",
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "AiqeI4vf99kl",
        "outputId": "1f1f8367-bd0c-4469-d279-f3eb31a67277"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/m8bdrmh6ExDCGQ64E83mHg002YV.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Jeffrey Dean Morgan</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/5By3t8kAp5Iiu9aULc3qryyTOWO.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Pompeu Jos\u00e9</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/btBOmL6PvUMzBjmALO9x0R44ncf.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>\u00d6zcan Varayl\u0131</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/j7AFVjuiU0h0K0Bke7FJnZQpcTz.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Selahattin Ta\u015fd\u00f6\u011fen</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/9Shbe0mLDItn2Is7QloNIu3G6x1.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Vagelis Rokos</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/nyLa6LmV9iGv4h9Zqbh1xMp7T26.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Darrell D'Silva</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "celeb = celeb_faces[64][\"image\"]\n",
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nilRcFw2KCC1"
      },
      "source": [
        "The search results look excellent. To further test our system, let's try using images that are not in the dataset. The following function, ``get_image``, can be utilized to load an image as a PIL object using a URL:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "Zfug8eOC69vr"
      },
      "outputs": [],
      "source": [
        "from PIL import Image\n",
        "import requests\n",
        "\n",
        "def get_image(url):\n",
        "  img = Image.open(requests.get(url, stream=True).raw)\n",
        "  return img\n",
        "  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 257
        },
        "id": "el4E4-xz6mVy",
        "outputId": "bca05cd4-dcbc-4292-9e51-02c32ae7fe16"
      },
      "outputs": [
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAL4AAADwCAIAAAAxREnWAAAKMWlDQ1BJQ0MgUHJvZmlsZQAAeJydlndUU9kWh8+9N71QkhCKlNBraFICSA29SJEuKjEJEErAkAAiNkRUcERRkaYIMijggKNDkbEiioUBUbHrBBlE1HFwFBuWSWStGd+8ee/Nm98f935rn73P3Wfvfda6AJD8gwXCTFgJgAyhWBTh58WIjYtnYAcBDPAAA2wA4HCzs0IW+EYCmQJ82IxsmRP4F726DiD5+yrTP4zBAP+flLlZIjEAUJiM5/L42VwZF8k4PVecJbdPyZi2NE3OMErOIlmCMlaTc/IsW3z2mWUPOfMyhDwZy3PO4mXw5Nwn4405Er6MkWAZF+cI+LkyviZjg3RJhkDGb+SxGXxONgAoktwu5nNTZGwtY5IoMoIt43kA4EjJX/DSL1jMzxPLD8XOzFouEiSniBkmXFOGjZMTi+HPz03ni8XMMA43jSPiMdiZGVkc4XIAZs/8WRR5bRmyIjvYODk4MG0tbb4o1H9d/JuS93aWXoR/7hlEH/jD9ld+mQ0AsKZltdn6h21pFQBd6wFQu/2HzWAvAIqyvnUOfXEeunxeUsTiLGcrq9zcXEsBn2spL+jv+p8Of0NffM9Svt3v5WF485M4knQxQ143bmZ6pkTEyM7icPkM5p+H+B8H/nUeFhH8JL6IL5RFRMumTCBMlrVbyBOIBZlChkD4n5r4D8P+pNm5lona+BHQllgCpSEaQH4eACgqESAJe2Qr0O99C8ZHA/nNi9GZmJ37z4L+fVe4TP7IFiR/jmNHRDK4ElHO7Jr8WgI0IABFQAPqQBvoAxPABLbAEbgAD+ADAkEoiARxYDHgghSQAUQgFxSAtaAYlIKtYCeoBnWgETSDNnAYdIFj4DQ4By6By2AE3AFSMA6egCnwCsxAEISFyBAVUod0IEPIHLKFWJAb5AMFQxFQHJQIJUNCSAIVQOugUqgcqobqoWboW+godBq6AA1Dt6BRaBL6FXoHIzAJpsFasBFsBbNgTzgIjoQXwcnwMjgfLoK3wJVwA3wQ7oRPw5fgEVgKP4GnEYAQETqiizARFsJGQpF4JAkRIauQEqQCaUDakB6kH7mKSJGnyFsUBkVFMVBMlAvKHxWF4qKWoVahNqOqUQdQnag+1FXUKGoK9RFNRmuizdHO6AB0LDoZnYsuRlegm9Ad6LPoEfQ4+hUGg6FjjDGOGH9MHCYVswKzGbMb0445hRnGjGGmsVisOtYc64oNxXKwYmwxtgp7EHsSewU7jn2DI+J0cLY4X1w8TogrxFXgWnAncFdwE7gZvBLeEO+MD8Xz8MvxZfhGfA9+CD+OnyEoE4wJroRIQiphLaGS0EY4S7hLeEEkEvWITsRwooC4hlhJPEQ8TxwlviVRSGYkNimBJCFtIe0nnSLdIr0gk8lGZA9yPFlM3kJuJp8h3ye/UaAqWCoEKPAUVivUKHQqXFF4pohXNFT0VFysmK9YoXhEcUjxqRJeyUiJrcRRWqVUo3RU6YbStDJV2UY5VDlDebNyi/IF5UcULMWI4kPhUYoo+yhnKGNUhKpPZVO51HXURupZ6jgNQzOmBdBSaaW0b2iDtCkVioqdSrRKnkqNynEVKR2hG9ED6On0Mvph+nX6O1UtVU9Vvuom1TbVK6qv1eaoeajx1UrU2tVG1N6pM9R91NPUt6l3qd/TQGmYaYRr5Grs0Tir8XQObY7LHO6ckjmH59zWhDXNNCM0V2ju0xzQnNbS1vLTytKq0jqj9VSbru2hnaq9Q/uE9qQOVcdNR6CzQ+ekzmOGCsOTkc6oZPQxpnQ1df11Jbr1uoO6M3rGelF6hXrtevf0Cfos/ST9Hfq9+lMGOgYhBgUGrQa3DfGGLMMUw12G/YavjYyNYow2GHUZPTJWMw4wzjduNb5rQjZxN1lm0mByzRRjyjJNM91tetkMNrM3SzGrMRsyh80dzAXmu82HLdAWThZCiwaLG0wS05OZw2xljlrSLYMtCy27LJ9ZGVjFW22z6rf6aG1vnW7daH3HhmITaFNo02Pzq62ZLde2xvbaXPJc37mr53bPfW5nbse322N3055qH2K/wb7X/oODo4PIoc1h0tHAMdGx1vEGi8YKY21mnXdCO3k5rXY65vTW2cFZ7HzY+RcXpkuaS4vLo3nG8/jzGueNueq5clzrXaVuDLdEt71uUnddd457g/sDD30PnkeTx4SnqWeq50HPZ17WXiKvDq/XbGf2SvYpb8Tbz7vEe9CH4hPlU+1z31fPN9m31XfKz95vhd8pf7R/kP82/xsBWgHcgOaAqUDHwJWBfUGkoAVB1UEPgs2CRcE9IXBIYMj2kLvzDecL53eFgtCA0O2h98KMw5aFfR+OCQ8Lrwl/GGETURDRv4C6YMmClgWvIr0iyyLvRJlESaJ6oxWjE6Kbo1/HeMeUx0hjrWJXxl6K04gTxHXHY+Oj45vipxf6LNy5cDzBPqE44foi40V5iy4s1licvvj4EsUlnCVHEtGJMYktie85oZwGzvTSgKW1S6e4bO4u7hOeB28Hb5Lvyi/nTyS5JpUnPUp2Td6ePJninlKR8lTAFlQLnqf6p9alvk4LTduf9ik9Jr09A5eRmHFUSBGmCfsytTPzMoezzLOKs6TLnJftXDYlChI1ZUPZi7K7xTTZz9SAxESyXjKa45ZTk/MmNzr3SJ5ynjBvYLnZ8k3LJ/J9879egVrBXdFboFuwtmB0pefK+lXQqqWrelfrry5aPb7Gb82BtYS1aWt/KLQuLC98uS5mXU+RVtGaorH1futbixWKRcU3NrhsqNuI2ijYOLhp7qaqTR9LeCUXS61LK0rfb+ZuvviVzVeVX33akrRlsMyhbM9WzFbh1uvb3LcdKFcuzy8f2x6yvXMHY0fJjpc7l+y8UGFXUbeLsEuyS1oZXNldZVC1tep9dUr1SI1XTXutZu2m2te7ebuv7PHY01anVVda926vYO/Ner/6zgajhop9mH05+x42Rjf2f836urlJo6m06cN+4X7pgYgDfc2Ozc0tmi1lrXCrpHXyYMLBy994f9Pdxmyrb6e3lx4ChySHHn+b+O31w0GHe4+wjrR9Z/hdbQe1o6QT6lzeOdWV0iXtjusePhp4tLfHpafje8vv9x/TPVZzXOV42QnCiaITn07mn5w+lXXq6enk02O9S3rvnIk9c60vvG/wbNDZ8+d8z53p9+w/ed71/LELzheOXmRd7LrkcKlzwH6g4wf7HzoGHQY7hxyHui87Xe4Znjd84or7ldNXva+euxZw7dLI/JHh61HXb95IuCG9ybv56Fb6ree3c27P3FlzF3235J7SvYr7mvcbfjT9sV3qID0+6j068GDBgztj3LEnP2X/9H686CH5YcWEzkTzI9tHxyZ9Jy8/Xvh4/EnWk5mnxT8r/1z7zOTZd794/DIwFTs1/lz0/NOvm1+ov9j/0u5l73TY9P1XGa9mXpe8UX9z4C3rbf+7mHcTM7nvse8rP5h+6PkY9PHup4xPn34D94Tz+6TMXDkAAAAOZVhJZk1NACoAAAAIAAAAAAAAANJTkwABAABJREFUeJxk/VmzpVt2HYaNOedaX7Obc/ZpMvNm3r7uvVUACgBRLICNABIUSNiSSMnsHLRs0QxZDjnCfLD1J/zkF4etCNmWaYbCjJAV4gOJIAmItEEQFEGBAAgWWASqvXW77E6/u69Za87ph/Xtkwk4A1GFuvfkPnvvb63ZjDnGmLR1BwDA4ZZ0+Nv/B/qtvwMPllQpwUEkGQZycRjY4eRO2UBEwmYGB5gosJm7u5m7w93dnQAb1eEA3EBEzq5qJIEcnh1ESs4sDgaTawKY4DBjImd2EDHDoZadjIUBZmYAUOSU3dzM3J04OFyzuQMgZ3c3UnMHJABwM7g7QMzlZ4gc5HAC4O4wAwwgc6EocJgqHOVHzRTwnEHkZA4QASmrujOzqgLuIBDUCUAgcnM43NyZM2CqwsROlobwM3+a3/2J/X/9f1Ed2UTZmIiI4cg5M5Gal1cmIjNzgJlRHhYTyNnhTgDMjIi8fDSi8v8DANjMzKx8XYcfIwfKTx5+DCCom5M4QOpurlQe2vTZy/dz//NmBjAT4OXbhnMM8uWf9qqFK8jgRCIUWEQAMgDEcCJ1EBlTpnJWDA6A3eGuRK/elrkbpsfkDlN3dXKGAmBjciYCmalbhitBKQgHAROEnAnCcBBAIAaTixuZojxvZqbp6yL38jmcmfjwcYnI3D0rVMlBICYiIsCJyoem+y+ofLMkEUJu5qYEEIGofC4iEmZnJhI2eFIlYRGh6TVBRCAmgNxNzc1BcIaZkRnB4WTMLuK3V/Ub79r5OZk7mBggKk/a3UEE5ulAvPbMyjEytelmEhETC9+/gdd/GHAimq5ZOXnlhrz2mvdnrsQOTOeFDq+Acnbx///HidlQ/qU74I73fpwefCl7VjYjNmKDTy9K4uZQdyZMj6e8NyYmwAAHuFwFlCfpzsIOqAPEBIaBzFndzImZmFFuG+DqbvAxmRoJm0/Xis3dDA6C3H+q8uJejhVKCCiP34ncPMOcQSXGgBki5dEBZGbm+lpkPLxfuJOYkavBtDz0couI4G6ASwCR2/R0qbwLs/vPDjewEzncy5EnZ3YmJufyaMwByZsXqNv6vR/JrsbKFAHC/Rui6VQQQEQhBBHB4bighHbAyVACJ5UcwOV5TBfJ/NWDdphN/+T+nE0n6f5nrHw9r67Sfci5/+H7P8TGzk7kBAdM4XJ85u9/jUS4nA43LpeVhZgETmQIgHiJxE5gpuzZzYMIcSjvRYjZnBVkgBmD4AZyMIPMXAEjKqGPgOljOwLA5ft1ImcCwcnus4bDnYzIoXl6wESIAQRAyZ1Y3AE4GCAqZ97hzABZiSElhgEGcmItV4CJ2IlpOsoMhhHALFz+LrG7w5TcqTwGN5hOcaI8MsCJzMkPt9nVzQCQl5sGKp+PbLOxfhs//ENcCRxwIz+kIy43y8zLo4aauZsf4jczM9gcJUpNT9ecHPRa4LmP/e7uru7OLMTsU5h+FZDIQVbeeDmERnS4k2pTCVICMJPDyy/kV6GJhIhcmD/8Ka9rz8RwAFo+kJprhjsRu8IygCnkm0M4ginDSyX0KiRmtazlUVJJgYGdycrtIQMpSMtNnL4CAkDuDC3PsvyTw9lhEoDKpaMpzDLKBSUnkMHMiAXkBnNiBwNQVQAyJU4ndwKEKYgAcC+PyUFeTpYBYPJDnjUt33Au780d05H4A3/KwaPpAZe3yARyV3MwEbMDArWu19vn1TtfoZNHwdXYHEYMCQyApsgBEJmWEs1ZKMQpRcPBfyCPEJnZdBKcAMLhIE4vVWLMa2/29QhkXkrU6aXY4Xo4ca/SFk9XsVQLcILT4fc5AfT4qzh7Rz3DzNxZHFB2Zbdy2tjFfCoN4E5gIiESCHO5tuWdCnsUigIiEAwGJjCDmYMQkTvDBc7ufB+NiabLxcSezVSJnBhgB1t58K7mDBFh5vLlmh7yvzkxgZnA7kSBOTIAc2dmIxi8xFhXg7qrH75uKykJ04HxkiNL6VoOLZGU75mZhIXw+x4eERH4vvCaUo5TyZPmcCYv1xhMmnHzaTx5p3rnh81NlLw8FYO7E5yZmQ+VrE/v7vAGnTGlKZSi9T7v+HT53DF1J+7lAN3XOr8vSZU7fH9vp/NDBBYmESEhOvzF6fSUeE5TTQcAVm6IQxYrevPHyNVKgW8sCMbBnG06zc7Epu7mDAI53DVnNsD98IvMzVlkysHsxEQOZHctr+FQwBigEAAiEiplgpu6qrs5kRvAICEmhwFG5FxShqqREwlxJcTTqSShqeCj+wrPHMpcjr07GQkgRMJgNpBBiYz5UDGbEhCEGV6ijYPJCDY9KipnP4SpGidX1xIciQAIgUviIC93n7yU+O6ABQGHSObj9VMKVfvRH/YQVX26caVCMiMzBqT8DmGi6VO7OR0KEYDNyY1K6UU8fYCpCWByJj2UhSW1kburuqrfl+Qo95eJgzOBzAGF2+Es3idBdzu8OHkJ5kavl0fwSHjnaxyr8jncvET7V2U8g6i0T2ZwoxLES61rPoV0cndNqTQalrUcJ02ZtBwsIzJinwK7u6nR9NWUVoUgzDE4hakXtqn0JmYiKb+dQOY2HeDS0ZTA7CCH5exmr7UJRMTw+1oSDi9FxtQ/vtZdlL+iqu7uTD6VopEgVOpiN5qCiaiZmZaC47448BLGrVzk6cGVCMHOdnud8y6++1U6OxcY3EVkgjwcXtrp0jaKOODlacMVboRSojKIzFGKLMCphIfyOYlBUrLffTN1j8W8HnyMYM7T335VO5ez9fpfuY9WgDMO/SkdCh8HwqMP8/zUDCiZCVQakyn6aYYphKSKHMQZbs5qlpVZyi8ncpHpzBZso7wUg0DkQbwUJ+zlU5QiE6XPL0WMOVTJHPoqHxuchP0QmksrIz5FQjAdsjmooDI25cFSUQLEJH7fhJZfTUxO7swciGh6Q2aHuMUswkzkGZrVksuIBjpnXwS0cAzQDE2u5gCEyjmXUvswl8PETCwytYVuUM6319zfyoP3wtvvGxOBSpdXWioSIuFyXqHGr6WV+0dI5mQlXDnM7lPY9OBV3YwAxnTu76vjKUmV7GAlnHsJJ/cB7fVg8Qf+lC853P+20l6Xf0WrR3T+hLeXzmLuELgpBYG5u0LVicHsxK5GUHd2KvUUFUSvPBxm1qzuxAgOczOCAIYCADrg7A74FBgMcHMiAiuBAc5qLEJcoCBzmsIllw8LMjvUhOZE5EQgBgzGROIOPsRYsvIlG/FUdDvKYyxdvKkZfMKKIEHN2AAbmdhXC374dnjwLp2/7bNTr2YaKpj7MGh357ef68tP7Pln9uyLnHp3YZLpnk3fvxo5wYNIaZ4g7PtOuys++VL93teGf/XrUnA2kJmzUKkMS5ur2UrdPb1jwMzCIRRRecPuh16e3d1MMd0CMncClxTiDDPAiYkNBiLATbVgIFPlikPeJHLArHyp5YFNBbG7BbPsHP5AEPPZgs+/RJ9+A27ErGrlRpplMyMufaqXIhBeKgxyc0/KREZgwEFW8NXSExjYARhK2DAnrmBOpbqHkQhKWIK5UUne5sZM5aAQCxhUvgLDFFy01CBMyCVJiIi5qinzhMNOqK6XrpmI6D4Fi4iVnOpGpQMDALAb59Gaqn7/h+Sjn8L7f1iO3/NmkdyJSyCKUJgpk0Gz94NtLvzF76bf+9X8u/+qu3gZYyQSdwKXIsGJYaUoEYKRDJ1tLsFSv/8TcrTC7W3JESBYthJYzc0P9760EGZOInC30kfd5+ISe8jdTXV6xlwOk021p7AcAGmHT1kNZuVdlb9SKtcCNJRk6LAJzXBQQR9AYA6UE1diIJ0adoc5KqEHX8oirG6qE7JhBjizFGScAKiJw1kKcBsIOWViBsRKt+daQPqpSiR2MneGl8SbQTrV3gYjI2bk0gcTCAhEoJxVGBLEiVWTmpaShKkkR3MKTlA4M8PJsxqmztlMibhUkGbqfojVE75TgBmABIf7xg7VlKum+uofiV//s3jrx2T+WJlBGeYydTzZ0uggIgSwSbAZo3mbT96qPvrp+Ee/z7/1S/vf+O9ktwdVhkzM5Y64GxERibrTMOjtRevd+PDt+OSDfPMv/DXo9gC9HYpiKsHjD6aN12uRgkmrFVTG3UrAIJoixfSaDPISROBWavkCSLgfmuYpCxHAjkDi8IIx3SOy7BSsu5NYF0yjYGVaUtiDt0JsXXuaelufOj4wYHCjcmLc3dSgwhWYKTDgrlb+sTvYSSAwpxLbHJ7VhZ1BbiTiDKhBHYmpYmMmZHI4BK5EThTcLcOIpuwzjcn48E1aCUkBDmQtoa4cJicBF4DKSdidyGAl8h7aV6A0ZAI3Bbl2/OS9+c/+JXz139VqyQwnY3hOxjRNNhhiZG6ubkRWHrcwqGLYPL/51ebBu9VHP7X/x39r+PY3hSOQyBgMBoEZMAFyht9cq5q0y+pLfyj/7q+bUxBSdWCai7GzmZGIF+zk0PDAnX7/hMHUpp7U7xswOuBDDkGZrcDv284CVQJETtPokQ+NkAPgKWO5qcGZuWAfU5dOCH73hR0/IhhQ+toJg41Hb4z1ksYR7gAZDOZwgmlJwmbGDBdAMX1COJWAyPBkTARmU0AAJ/cCCruIJDdCKJUKCMIwd2K4aQl8U04lNp/mgqV1AzELu6ubuymROGiCTO1wUYmIKWku94HBas5MwkEL/sswp5IUD60QsZEZNCL+2M/HP/VXhrMPIBF5kBA1pdJQUt3yFHVTVjXNAFSt1CEFZAJRYLL6SL/ys+3Zu/Qr/1X/G//IhxAqdvMSBtyyEzEo3zzzNKKeV+/96Ga+4HUypNI2lSd/jzEQTK38IjlAf68qKTiISx0HJycHeenmJszA3Mogd2pd7+eW90X39OzhNMFZDsCNUD7Y72vISqUQ/OYTvPN1etWdY4J/2mM6OqL9pQ2li6bS4cCVTEpLCyNygBlQmnofA3Epcsq4lqxkW5vuhxZ8gd3KnXB3nfBILmfcCmrJgcvTNTd2JyZXYy7liBID6u5OIq6lJCAClYhSGiOYm7nCyqQse3Y1MzdjErFSLRA7aHDZJTeqq6/8xPD1v7BonmC/D3UkjuCQhj6n0Sznq2fXL56lfsdVc3xy3i6O28VRmS6ZZleWEMAEInYXZjt7p/0f/3WaLYd//AtwAindw3IMV8/rFxg7igt6+L48/sA234BLif9+uBDMpb5zKiml5OXXnvph/Dy1s3SoUYjI3cqEAw4hhrsd0Ce8luloCmXTy0xfJZGbWwFLXmvrJmjREOj6KXkyFyIrhSyBAfhsadURVGkCRaHqcAOxOxEDaubGIYC0XBIlx+gQEAtNQ6PpP6Y2Gq4+IZEu7gUQdIe7OKvBJLhlVoWQEpjZTYnZC+ZWajd1gA0qJAZyy0JmYHN2KIhYzVwJVgZZ5u6aber4xUyV3Jk6jXeJtoROQz9qljDW83AX/J/8ysMPPnv85vt11b749AehqWYn53p3+41f++Vn3/v2bnPnTEmtCrFdHZ+98/6Xf/zrp4/eWj18HKoq9amU0CAisAhwfN78qf+Y+3733/8iGcDErkrOgDrb+iYNd9XikSyP4ns/kr77TaNyu7w01QXRBpcekcnJrAxiJ4DYD8WOF/KIA+4kPI2MJppJ6YlKsmT3CTA1U2aGi1l2IkzNiBCI3Qp5QbMW3Mim+f6rgBfs7qWYFkbL/R8GrGq8OkY2UFA3U6cYYOrkU0VbqqdSrt5nmNJdexnJYwLkD0hryablqjD4Vaz00i7C1KaqzeFqLNGohAYpADlKBCrwmjnKtK7M/t2JxcjIqQy5nEjdVJ1YhMkleOS+S1uqLnp6thmf7/pORD25RATZ3d7q01/Lo1YnR8eL48VyeX35wjO98+UP9y+/sN0aFCqRTCDxPHZ3F931y6ff+c1/Xi9Pnrz7wfLs4Ve//kcfvvk+mtbh7kmUNTjPV9XP/a+6m+v0r36VvdapUmYi8G7Pm0s//4pL3b73tbH9OzSoMe6nthPaMQWhEk9fK1YPQwYzJT7g0aUPfy0lgdhLk176MPPSxxYQC4QSisSm4V3BnlgNh2x4OKAT9lNyVqDtteXsUr16QwCgHoPMjkvicTCbE9M0BXYmBwnZVGMAzCiPmIIHtpwLvKClA3IUwhEzZ8ulLyxD71K/GBiEEALBNZkVWo27qjILR7ZkMCeQEYwIagRXM+IJ7QApqEyfyqiIYKRmThzr4GoJ1HPztPdrj5d7XG+HkSSsHkRhJk9gNYp1nXddJhs3XR51s9v22+3m+obzftXGBB/TkM1VU6iqqmq8NFrZNlfPv393RRL+h3/8i1/9+k//8E/81Ptf/Wo9P1KDjyn7yMvV0Z/5ay+ffT9ePLcgMHLADb5P6ea5vJMFire+gofv0Pe/K8HLuScOILeSZKbJhh8q5TJunxrJMnIjKYNLPYRyv/+3r00v3KFwIhJmNjN3K5V/KaEP+QsTykVcfiNPY45XyGTgtDUdGAs7nBsCjJiYrF3ClFhQkM5kRARhcTfXbAVQwsT+Mna35CYOcy8sApi/4s1QCb9U5kFmxoGJCTwxUYwLhutODteCbbsRrJSfJVOTw10AA01Dbz+MSqZpIBxqnrOTCIR7wnrkW57fcvMiaefIEbOHq6i2H4auT2o2mHb9YNlYIsUquV9dX9WxqUNozk72KQ/dkOD7cWQJHkPuB7ZONbVtPavqdl4DJiBP+lu/+v/5zf/+H7/74Uf/9p/9Cx997Y9SXbu6W/InXzn6mb88/IP/G5JPsArUNfvtM3eFK80X1Ts/Oty94Cryfmvj4GNXqJHGjEJ44AxHYVxgQjikAHQgMiPGhEgXGgum4GMspaMB4CwCJ56CFk2ntKCiZu7EPLEJhEUPhSUBLuxmqhpCcPfgQ8/jyDP4a3mMHUrgdukhlta3QHMljxgDwmQOtZJuDXygtyCras73CYy4EKJQCl4QIFRAlAP+OH08z2Xq6XIIpOXfISdiISHLykbuxsIKLnHdVA+Z292dWFK25GIBOevNSJdUb5vVpdEwqIVKiVXRD1k1D2lwQM0BnjUzYh6z7oekZrFq9t2ws2ExazZDR2qxbow5EA/7YZdyHkeRwN14srBF2zLpowdn2O7anCDyxcff+pv/5//jV7/29X/vL/2HJ29+CK5x+1J3TwdL0UiCmAMkpCldPm1s9DBzTvErfzh+9EPtGx/57kZ3l/n6xXD7AneX2F7p7caHzvutq+qYkaf5Fbmpg5jgXoAup1C+cnNjETvMaNSciUFKREB5aqWZcjrw5rww5Up4KcwekItbtkPSfDUMCWYWs1upsP/AvKJqlSgcGrMpdASmnKcfDOzkVAZnZg6nGMRhWUumpvKZ4AXYLWxIVYUTrEzbADdyImUDgInBqaqFUQMDMZllFg4l7TIRMSxb4VeUcv/QMSTVpBhc1kO+5Nl2edaFcNeDqtDMaNiNXbdr60pAHXFTzUPVGsmu77pdN/SDM6VxLC/XNnHfpcvLm0DGcN/3JFRJmB3N33j0cH2z7oahT+mLy9vVPL371qPr3a5tmyerk5vr29XqVNW++Rv/9JPf/Zc/++f+8td++MPdP/+7+Xd+pUrirqq5oAzqUW8vPW0ktgqp3v1R9USLh/SAnKzJVpmSjT52Puy8u7P9jW2v9fZqvHqu6yvb3vJuje3Gslk3kCoRkUvhTKlPLRcJ4DqhNV66tAnUMjc3CMhK9wancg/dSmlcZtEFoLUDBF/OQ/CcjBJKAVXmzpgCGULkwkMGsbO7eShk4mk2UpjKZiZUWjOwepk9ZM2lCjP3QoZQKzmbyNgn4MFARoFQmEssU5Jy98LTogxiL0QKc3NjYobrBBVOg1smTmQAp2Sj6Q7xxZ6v61U+WmyUt5txfnoy9P36bpP60dxOHpzebTqi0Myazba7uLrshu7udjuOmVl8Qgg9xIoZBjNiM2Uid94n3VzeNvvuaL58eH6WLVPgzXb36fOXs1l75hKFqwp3tzenJ6dvvfl4v+v+v3/3v/7OL/lPYnum0GhwZjOCmmfPRLcXvr+15hzuMj8SU/VEJHC4FBBeqJrR8hwg9jI8ynVKSAOlfRrW2N3Z+lLXV+nuhW2ufXNn643ud+j3NIyec0FRuaRJI3Zkd5DAnFAAUnInBjEV8M1NS12FQl4zum94DlGHEEpCxKECuq+US9vsTnAnh1mGOMUAJpTD5+JuMAiJa1EbOMEhbLmMo0EONSukljLxLgWZEiAkNhFaDE7MDoMZM6kaSknoRkKHoeeh/5xaAzf49JkgcHeTkfl5P3zWha49tuNF3w3JiZr26sUFO6nqbLnkKOtukLoKHLe74fp2u97ts7pxGC25ppL7yDmlcTFrVotZJbyct00dq7qezWeb7Xbs890w3K5vxRCb6mi2CCzC9Ozqbt9XyyZUgZ8+/2K+mB8fz+vF/OV6/xumPxbyQx/YPaJ0iAby3G1pdxMeVpa6ZA6SKcC7lwaghApMrOQSYsmrCrEiHAk9IrirRtXG3aGeBu+33u+s2+rdhW2e++4u397Y9gbdOm932g/UD56SeTYzEYYTm4MFh8dw3y4D7n7gwx/ODRGxI5Tp5Ktu/XCICg+NQcRimllY3aHuaaBSyjrdH7n7I2nupCqAMpmB3JzgMpX3pV10YVOF3pflpZozLsAFIZtKoUGXMflhSOJcsAfw1PkTOav7aJpy3it/Z6fXswfxrRPt083V5uhs5aDd3XpWBZLIRM2sMdB+s7t4+fL2djtmJ2HLKY0Gs6oKZu7qUbgK3LYNcm7bKEzLpgpCar0mvP3mQ4IMQ29kd+vdqLwf093d3axqvvL+m1JXz7543gY5Ws5ub7aWxjefPPa2emnL3xW562/fs844VSREgRmp78brp/y+gVmIYIepWrkr9zOtCTh2tekyu3t2LYxWczISYoCihcZnR1L4R+6FDJZ98LGnocew926Tt1d5c63ra9/d5N2t3l1jvcXQp3G0nG1MDidiPlQr/hqReUJU3IORB5GC4BrISpHkMIaSeQgYjQhgsuTBYDrlzAm9LEO9UoGITHNwmfgfRlrQVarYsgoxnJMnMHPhh8OZBG4lB2ZToTBNZwgGKQgzeeHoEbNkz+RWiid1DMky6e1YfWur3ekbzfnp1dXtZrM/fnC27va79fbR2fn1+o4rHJ2eXl1d3dxsd/1Q19XbTx4RS8p5v91u9r0R7bs+jxli81kjzJo1m+77XFfx8vYm5dTUVdOkYTQia9umaprlYr7ZbqUNwOLy+fW/+sbth19+/8s/9OUffPwDqC9ms/Vm+4MffHpysmpD3dftJ6Hu756/lfPjoxqmNGYePV9/4e4AuxuDRDjl5OaCwCwTMAg6gHtOU1PtpWU2K5PrEpZdDqhQoZY7uzsJNahqm50QiNyDZXeoZfJsOemws35H3U73d7q7sc2l7u7Gf/ON/OyyZCsuLLp74iyRuQeplkYVAQoQIJiCpDs8JWQlEZDAjcWAUOb0BeQ2MyaetAfMpcTyQvgtPHYRN7A6jaV489LEGh2gz6meJwBMpHAHSRDP5uQsE/mHWEonNUGGhXQeJOXshJtU/85e8qPHddV8/snT/Th+6Stffn55NW62bZD12J08ecQUvvj86cXNzcMH52+++fDm5u7l1aU6DSmnfkwpEVNgiUISZBb4aHV8c3PtLGoGTe6+aJpZO6siz2qumwXIx7Fv2/bBapnGIViqHp9cXK+/850fbPf7Dz587/LFhfZ786rr8tX1zcnJCTdx5/574Xidot/dPVmQVoye9fIpjXuKM5tKjdIek5sZzIMUyuBrKeE+DGFqjF4bFNz/l09NbsGf+QD+MA4wrXA0BJIqVnNdGEBCAnW4QvV6/L+PT/9exaFwL18Lf/DCi5O2Rd24exmYS9FMAXBQSpGQ3MydDW5ELE7J3YjY3QoOzEHucxYLm6qpF8ZJcDYmcvPkLOQEVS3YDDF7wdFV3Zw5UJiG9JMIC4CSE8Bs7kJcbpyAyC2TmyGN9PkYvm+1nh5Vs/rli6vNrn/r/XdvbtfD3XrW1lLXs9XZYPlbv/ftum5+5Csf7vv+0y9evri8GYZUVTUTMehoPquE6xjYvW2apo5VTS0d7bdDP/bSVJotqY3dTlCnnjTp0fHy5Pwk59TvOhuHZduEkAOtbjb7y+cvYfTgwdkw7mez1rFjqa6ubp380dmjF93wCWqnoyoP55wt1N3N86PdnazmkxCqjHvdESRvL727bR9+UCQ/mOj3pew4tBRT7/T6n3I4fGL1FDkCiFDgUzJnK5WGKuBGUjgaTERMMDZy0izEaq9O5f3coySvkJo2cGXkBPb7MwsnJ85bF/I0oZfkMM0T086MJVhB/8wBYmF2aMpqBgYLefasxqWEKfwEEIoGgWBkDvA01ge46LLAxJbdncobJZCbs5fKrUCEAcCY0SV8OsTv84wWC/TjkHUzjm+8+bjrh91mvZjN2uN5vTx6+uz6+YvnH7z7ztnD02999wdXN3c56cnRMRF5HjwNVajnbT1rqii8WMxmTQtYCLLfdd1y4BCHlLa7/TCMAI2atrsuw6+3+3BRnZ4et1Fmbdt1vVg6XVSz5ujihsZud3vpVSVVFY+iXF5ez2aLq8sby/7ojfPLm9sbqr6jO837k5zD5s77u+SP6MCXKVecWdLls9t/8l/pv/UfzD/6GSZWV//9ZelhzOMHgo3RJJCexDYEpxCKlo0Pyu4yXyCCEZk6i4GJnOFwZBA8j3l7Sw7IgYo39fUTQ4gYwZdvIsQiRX41iiBANe1uw6HSpsDs0IP42axQ7pjhDFI1NzIiPXQEbu5uHAIz3ePl09EnKqQHgjGLqYEnJYMX9sCEL5CXNMZFvF0+MLsjAUnaZ7v0MTfLN57sN7d7t9sXV4/eeJQNN1cvzlbHHEOv9uLpC0C/9hNfqULz9PnLILxo6sEH1cxuJ8ezRbOat21dS9vEuqkBCvCqqomDn1lKKY1pHJOEh9ksBOmHoR/yeuj2vV/dbJ99/tKgx4v29PRoFllzXrWtY9ZnV4MLK7yOzdn5g2fPnx8vjzbrtWk6Olok8Oe54XZG28uju113+6J69BXGBIeWWBKc8/qOvvnbu+tP8GfWzY/+O4FY+TBQfhVq6PBcf3/kYaJBt9/+1bFf18fnPDvh5ig0S+IIqUiEmAJEbdSihAS5F16r69jn7d39RBWHgfl97GHiIKt3nQWlYznQWQ0kY283lzom8uDmJnAGmP0g+y/TNiIU8nSGkYGYTV0V5FQ483pvEjBRkIjVDaAgpq4FcIAJFbcAd1dikkA5KZOUX4GKvU9gBjBm3dXND7bhxXzFTreXF8nT3jBrF0l16PLJ0fF6vyeRen4SRN5+88Hm6u52uHnx7GLX9QytAp0tF8fLxWLWHB3NmyhBhHnSbJKqp94JVd0Iw2xctlWsa2bJlleLuuvG0zTbdv3DRZXt6HbXf/Hy+sXL3MRqVrPIcLKos0flKszayxcv83Z39vAhcby5ugD5rusAeufdd3br7a4JT9nV7maXXzQf9AZmDpio/65Qv3kuWfHJVff3/obuLxc/8RelPlLXIv3wKe7Qq2P0WuZiUErD7p/9ff34d8b5DHVLiwUtjmV5ykcPeHHC82Nvj2lxVi0eMAc4+0TJIMuddhtzEzPiqSB9Hdpx80BnjwEQFMRlFmHuZqzd3tcXaVAmI5BOlgSAG5Jb0SYVZHuafJAlZXBSdVW4qxmPAqEiKQLz9BrME3ZNEKJcDhaUhCwxMZmrOySUAw03B9TJ2ZAU+8yfdfpxh+phy+NuP/TN0Wq4uI6rJcVqLnL54uqm6955//009j/80bub25ubm82zFy/d+PRovjqeHS9ni/l8uZiHKHXV5HFPbpoGN3i2UIRjEkzHQDSrKhbxnBRjYCbXZRNSMIK0dSMhHM+HJw/P94M+e3HRj4PBW1BTs3EKcXZ2/uDFF8/Wd7ehrt5+++Hd9e3N3X7IabffHR3Pbjbrnps2pPO7m6UNQGOkMC7FL0bVy0/MSET8YtP/4t/Om7vlT/1lWT52tYmSN/lOvAJ5C1Gq9Fs2dr7dhb1j6FV3TpfkZBEeHAzExoXiH//365/+n4OodD9sphzRD+g6JjF2NjoQfn8fChP89D2FFyOSoqtUIwD57jLvrgum5+64p1gAVLpoBUPUylFTM2cjg2fTrEZEpMgwgbBPFKDC6nYhIdZUJIAsImbmBhCxQKRIAwAQzMxUJJgDTKreQS/D0Q86mj1Ytcv6Bx8/H5I//e4XJ08erR6cbl6+fHHx8ouruzffetvH8a3Hq+3m5re/+bED77z39sOz1byt5u2srSp3LQYRpjqplCb/leCaRUQiA4GcQwwsAe4pp5w1Zw0BIrScN2NSNRtdCX58dny6mn3x4uLyes1x3qfd6Xl7fXWxOHtMTx6/vHzZ74Z17o4Xs7gf+/3+88++ePjgrKqrl5u72XEdn71Yrm/r1ZM0DFU7szKJ7Pd2+5Jgygge/WY3/Mov+PUX85/7X1cnHxaGov/+Cvn+0Za4I+PgaXSwH5iHTkwKygp34pxpEC+TBz+ALUxEul9b3xEmGq6XB0qvTo8DwdoTcjMSU7eiqjQQMN48T+sbsWCqqpmlEHrLyNbVYWUU6yjC/WyAWuCQR1diFkY2d1MHyMWZFOQUhM3VmZ28uGVoYQ1KUHOirEZeyHRQAhUOHowyoc9y1Zx9e6PaNnVFzz/7fNeNt/tOmnpWVzfPnt1cXD6/3TI3HKSdiWX8y298+833PjiueF6H1dG8mYlwrDjkZJoTc4DnbJlF6qYlLxVY4AlOcYdwKJzcgliqB1NV8wxHFTCMebFonDjbIJqenBwLhcvr9Xbf9UP66IO3X1xdzWcn88U8Z7u53F7dbI6Wx1ve7Hbdbt8dna4e183L66tqs1l99v13jh5xCCkNMUYIj2mn6zWDC7UYImFP6Td/cz1085/9T6o3f3QqHF+jir7eQoPI+j36vaFoQSdHk3KxuUzjJYTlMQq0DSoYjbtqvyNSYhZVnRw47m0OCs5vwaqWwa5IGVb0hWoA54tPrNvpSPDsgKUMoEQkZy/KNNMR7GYgFRICNFtWhyWzyYGAPRcCDRfxVBF9uhxY01OHaQdIC25KTiJihY9ObsqZbczxysInI8vRooXfXF3f3u26DOFwslzm3Xq32V7e9X32xXFsZ7PHjx79+v/wW6vlckHjompXJ4tZFWHqqU8O1ewwUCKiEKVuKoAFzO4wCywFiijX0cwIcDGJ6maaB3XJSVUtSEiqTGiCSNV0eXxSHdeRv3ierq7uvmV4980Hg26fPDy5uFzXjx73/SZKrK0ZNN/d3hLs4eMni+Pj6/X2+vkX1eK7T977UGGWE8UK+03eraMDRj4pihwq6be+eXf3f2r/R39t/qU/xh4MVJhRf/AAuQ/dlfcdeOqR77v6KekATI3MTkgCmfmkUDL3mPsth8p9UASG2uv2PIWgKBycaVSk5FlzocWbGVTHL35PhywU/JWVCWgyMCEYqIj/dSqhyIlDSCnDJwOpIlg1M03mfnCjMCskdwLhIA8t7xcwAnMFS9PUt2R8E0YIG1m85EabhlRzN+6SdkbbXV9VgT3r0G92+4u79ep8dXQ0Oz+ef/7ZF6uT1ZM3zhdNjBI451GTuJEjq4JIolQhuntdxaoiB7jIxYkCi2XlIk8Gq2upe6JDUzZjM+ppyFl96JklOzRnihQDk/D5atHU0lzMX1yvn7+4fOe9tzPoaFFdXd6dn528vLg8ffCAhcbdvtvur16+fPj4kTfVs09/8ODN969ePD9/9IZDNKvdXnK3LoA9Hah6IAtg/fZ3u+4/p5+/m//wv8MsucwCXs9cpUnZbZAHKRqjQ4N935aRu9cVzY5e1dpTQ5ORezQ1toMzo1jMTIHsteY8J1JFyqOZ3lPLdHNnz75rToGpQH0AGbQ8ci7KNEzYuR+cFhSlBZvOGYoovPh6GcwM09jd3P0Vr6vA6W5EZk5uodDCy2wVRB54x+0V5nb0gHZ3YxpRx+3lyCFUQUizpjEN4/V2r1JXdXW6Wp6fLX/n2RdvvvVW21YCFzdO6uQkQgSOIYgIcQyBmSlwCDw1kMIkzMxkDhQ/FgsULIsQu3Pm0SzmrA2HcRxCFVLOklWz5jSam3AVCUdtPS4H19nNtru6ePH4rTfnR2dDMgShGNY3N0+ePL65uri5WsPt6vJidnTEdvPpd77x0ddW1y+enTx+i+HD9XMe9xApYB6c3IwcxmBr9LOX+7/3/8z73fLH/xxXc3Utk286dFruhs2aYUzxPuS8XlCze2pqnh27ESYht4OAlDz1Ui3M7hTJpjLVROQVZq0exqRTnrofSSHY9Rd28QygooFmYcsFIC+Akk/lvRkpGKxwBOb7OZiUyZYWwzcRcQZ7wRIdLJbdKQfmiXnPJqXGsGIOxw4iEneD8J6rW27v1IfdjaZxuVx8/vKialvbJ8tjG9g0bXbjJvliOcuqX/mhD4e+rzg05MFyCCLiyB6ZhYUIVRUBBBYCiClwYAQSDiHi4CVD4gCbgcSpyNjM3V1EiqCF8khMqplZMiVjjoHHPBEkq1idHS/GYSRegOLNy8vHXzp+/Ojk+fOnDx6+8en3vrvb3q1Oz2Oc3VxfVky5S89eXq3vbubL8wfvfLm5vWuOVmn9TLOLODPr5F9SjAlZy1Tr2e3wS3/Ld1dHf+yvhPrENBPzvQUf3PLuDuqGiZ7p8KK5KSnETLmtuV2BJueyIlKDe04ZsS0yysnzkcQOStTyTsKYE0161Xu4Gvn5t2h3GYTLQSlyDSG2TAS3YrdVmMUMaHGHLJYASgwGGbFlZzYWNnJyMEkJbKbGQkST/4EEYRYvviJMbOasxMHNWbjjao36YpB9tl1/t3pwdnW7vb5cnz558+biC3dr2na33a2Txrpu24bJ21m4veratm5CCE4ENystt8A9hMjMDGKwsDgxUWAOLCLF+YiIeVK0qOqk8/KpHaAgBrei7wUzizuE2c2yGgcdx9HU3LSJ4Y3z02rf7QfqthvoeHq26rvt7bp78+03ry9eAuHk5MRMry4vzPzhk7duL5//zq/98k8u5hzrB1H07hpgNZOiQFEjQznwk1STCdf7/T/6O+g37U//L9vZwwx95RGUk+3vpqHRgX5b6PRl2mTZeX7EHCdqDpEVgeo4kCeqKnVlDn44K1QG0EU2zgh+f2jug1Ee7NPfEHMrmqeSO1D0VkwEJ/VJonhAMk0FTA7zYlbBgIImtzIjcvMifT6I3gmTQVyxMjHCxPkqHoPORMy92nUON9xedYNLODo/2273z55frM7fWL+87bs+RAZxP+hdSier84uLFz/2h74apXX4yfEsmEUWVw0iIkVwjRhCECnefiGIs4RYkQiLlAMEgCUUdaqITW2tuxX8Cq7FOohDGoacxqpmzUnTCAPYg3DVNkNKBkfFj9pmve8uL7qr5y++/jMfjcN+s/5svRmOF0fbu8uU8ny2ODu13fbu5cvLo6OTze3Vt3/nN3/y5Mn+4hnurtRMRNzcGcWV0V0LGY+JnNyAsNHuV/6h7jf4k3+tOnu3CE2cCJbRr4uMabJXMndXZgHE1N0zzZYU4mszU7hTHnu3ESGqpmI1dVCqv2q1QByKsK+4zjiMKKS7p/rse1KaDDIQWzZmJpYC1hGZVGLGbs6AkU1TU3MwFbMW1yxMpgQrBgzscAgTk2n5URgKRx5qjhGuhAgiuAkcynybbR/bi01PsZotj0Mdnn3xdHl8SuZjNw45LY8WWdNdNqY4jJuU/e23H47dnlTns0UQYbdS0DBRCDHGKCzEFGMkgCmEUFEQAyAREstbMjBHZjKCEGSyjRV3R86ZzNSVpEJNxBzMB/TCTJIwIJMQUYx1zpkC0tjPhI4W9e31zfXF8y99+C58/N53n3OsVfub61vAnzx544vPc9+nm5urpmmefvf3Pn/8zpuP38d+QxKK9olgmYhhZHCZ/BUJLGrGoN7TP/9nt/3u5Of+0+rhh64GR8o57/YgM4TCAjTP0GIHxmbOiGG2gET3VwUQmG0YmRtmGXkKVaVfKcMKPriUBZ+4PFZAOxfKT/81vfyMPUKgxd4nBgI8aREjGgtzgBmXcoeIq8DZTQu+7IVW7zyF1cmxjA6zOmY3t4nKNA04FWQCz8ok5SdVODfz2yH37ovVsqribrtTighVt769295VoWJgN4y7Ps2Pj7fb3WxWz1vebDZQFSaQi7AwM3NVVUQUOJQDBDgLi1Qk0YSFhVho8p7hovxnFhjImWnitjo8CClluBsQqBIKqplJcmbiANQsyUxdE5FDx/msvb67O1rMc7Lv/5tvNov47pe+tN30Q2KG3d5su93m5QUvj1eEbbfv9vsuD/33fvNfnPyJJqQsUSQnKX0zwE4+uU+A7rNIESclkl//7bv+P5//3H/UvPtHyM3HwfoNnJwMTpNAliZWKAFZMFueQpheg6TZzcY1RHwSIk58rEPnr17UE8WJq/RDBjiDUmff+xfUDcougEC8YDQGg5OQFhKIw9SKRLnw/w5WI+5Fwwey7JB720CfKjVzT+bZxXkKxVPPyQZKuUhKkYOsPd54vBwxPz+v2qbr9td366ppu816u16POZ+fHAtoP3io6pw7Nzo5mbt2OaVZHZs6Nm0TorBwrGuWUNV11TZSVwgcqjpULcUaoaq4ChREIosQE4gkiEgEMSg6Rwo1h1qd3YoSDRwrrmqOAcLMIVa1SIx108xm1az1iNCEuqlKC3h8vHLNq9VcB/3B732fYKdnx5v17fJ4cf5oldNwfXVtRM181s5noa76jE8+//7Hv/VPNYhThAvUkZ2yG01mcyXDOAAhYnaCwzKCfuPf7P7uf7H/1i+Tw4ZOhy0h3D/6+3MDgIksguarIk86YInOxJT3iFHLzNkPJmuvkEYvAnt24gNx3kExX32u3/0tEhDDGAXSnSx33ciVzJAtDwnuaooiv1A4MUIQ5uLYOaVNgqFU78VelibWc0Gkyrze3ZkhZKZklHLOQp3yi9txPUrPVM1aN7273dTtIg3Zc+7Vl4t5G2Hw3TBWMUCtamMbYhrzbr1phNksgEKoYtPGqo5NI1WNWFEICJGqyDGQsAQKMYYYQuAggVlCVXEIxaOQY5AYmEVCjFUlEliERFhYSm0UqhBiACTWEqoQYgyxjlVgIebQ1M7CwLxpXMfj+fLi6Yvd7dX56fGTN05vr6/Oz86Wi9Y1P//iuZHHNpBD3Xrwxz/49G7bo5kRS6LJwUWEimkbg3yyK3ImEpBwIAY55+99vPl7/9e7b/wi9hcy9CAjKpbvJb+4TvpcDxJpfoKD1KW0YG7QvpPYFEOu4i4PKtqEVx2WF+7LQQXI5Hn8/q/TzecEcZ0AXxRrBHN2Mi1iOrKsImwE80mKVYKgqmnOxeiIiEjJyQsrUrXwIAXFH6hwts0KEd8texl+VW0yWXc+hPpq38/PT5ml26e4WGZIGrOmlIZuMZ+P47jrEkSaWsZBkqYQ0O2HxXxRcKiiNwwcY6iERUTAgUAiIYRAxCKBQ/E1I5GAIo0jJpFiUHrPUCnxUp3YOEijObkbkwi5ecqWY6hTToCys0gESJhcsygJV5bHRdsOo7ZSffLtT97+0huP3zzdbHdffPHF0fJou93vtusXOS+XS1VbtM31ze22il+s90dny1jXoilDBWSuh8ak3P/pjfnUbxW3osCfvdj+4t+U00e82xuzk5IJgcrDYGEHuWYNrbRHmAQu5RXZzdP+OtYLkLuRSyGFHoIVMU+eGh7uY5ExyfZm/N1/JH3pjc3VDhbLVJSXMEAwnbbJDrLQiniKNMUzsAgdiL2wjpmhemifpoJnqoHMQFwcCDyTcJ1Dtc28D/UedWya+WLZ9V12X5yuPv3eZzALlawW8yYEg91uutOHb3S7O8vQlAOzqlVVxcgizFLCRS0hEDFLEAkioUiYJUYHSwhUWPwSAYRC5A+hBMaiLzp8QRY4sLKbU6CUEuAEEw7U1EmV4Qa1DKdgZdLLzMKu3rR1yuScj4+Prq6266Pb2YPVe+++eXN9e319U8dgtQ/jsN2SE8W6ms/n6333IoaH11tZ1XUeJafiSjmx2w/oHg7wbhk9SrHilhhe3OjzO5ACzFYk13yYKJdYYGhqbhaTDvk+G7lR2mN5phlwNtdJFF6Yh1zMQAE4uwGmICJw+vi35dPfY4SDEzcRsZEbw8pAgEDmEpiEHKQ2HXafzMsdTOX/qAiauLDB7jlmXNwSYQ4tvfpkvGDF86SqRpKhWuT2aGt0fHScU85JH7711m6363bb+dGsCnEW6ybGbTdmJhbVnEPgKoS2rmzUSB4lCEkIQWI1mY+KUFnmUAA/EXaWYirL0SWSBJKIGFBHjoFCEJEqVpGDsAgHZkEQkiJ2JmYhYgnubGqTqZE7MQdmEanIIyMGqSVEEuEQ66Zum+rB2er6YjPc3jYxvf3mgzxSsWpr5w3cI/HQ9c6SNHcIuyqmYXBnihViMOapMGFnLuqXyf1qmtsUHoyBJuP5qaE3I3d3ZGajQkwijtWc2voeJSlzH7KsOXG1iKbEZl5Y89MfLo+PCASWqWYC7++Gb/yC7AaS8p6mF5tspGMJPAAoqxqcAkk4GJId+LFF1VtiFQjs8MOctjgQlmBjcHUTmvilCCD2wBhq3tfNWLU3g4VmPoyDEy1Xp8nx8tnLRROrwJv1msirJiazdlZpGoic2GbzqqmZDUIkgWlCqichQblYU7slNBV6k+s9WJiFQuCqqoQZgDBJiCyRQkVcfJ2p9F0UgwuHqhJhECBOHEGh8PsIxkJc1DtMUkrpEIioCqGuY1OHqm7uru+GbnN2tjw6rqpQuyOPmtLYj31gaE7z2Sypp6PVloN5UlcSoSB6mPqVUrl0RlIKfBzscSeXN6KDSIGAwpQv/JdpW8RsiWpWwioVCICgafSUpGrNFcX16GBRUFjOJm6kIExOfoGo//hfyLd/AwUqyjB1AJaVsrMCXja73M86jKwwKg4ai2lERsBrFCRhZkZSNytVFkmxXIcDSTPcIQxmdcohGkc0rca4HQZz3242zlItFi9fPE/daIa7u7vFYl43gaP0Y16tTsjALGBu6yow6oqDBOGqTBWIcW+4XzqInMeUxskYaxKdFop9ARacbNIYlOhUFEKOojclFgFRDIGFOQiEQZFYnAwkIqGEtcmJq4zxAGIuqGQdQxUoEnU76/Z5tmjefe/BbruRQP1+y8xm0JzqGNw9Z99Q7OtlohiIckqaCqYxFbz3Q3IzK6aSdKDUeOGMTw1SKYWLcpcOvHjQ8gjV3MvKHEwqOR17aCapc+ond8VDEc1UPM2I2CFg9+xkurlNv/F3bb1lFzqsOijdkmezbHA2QLnUzeXZOxOVO8pFYatm08YhBkiYIULChexVAp0eOPyTbw6xEGVTY5EYlZu+WX5+fc1Na8zLs4eLkzOFdpv92HWxbrLa6cmyrsPtrqMgTNrvdp4tMD84XbZtPZ+1oZJQyUE/gGkTSLGvNivVD5ySpqm9C5WEBhAwl3mLcACEWUTIoSTCVY0QqJjRFhIAofiY8rSdAswSnHTIMU7lFHMgIHAUDkzEzHUVqsCCvN+P11d34+7u0Zvni6NZ1w0k6PttYHFIGoeqquvZ7Or2didhCI05O5jMpdzhsnllatbF7ZVCauqVfJJC3HfdcNZMqqXjhcN5ecoh3I/ShdhBPu7gFDhQSqUsdXjxCyi2YO5Tl1yc3bn79j+hb/8GE2cBjCznKWyQQ8wZZavToalmZpEQHD7mXOwmp7dnk9UlM7s5hnGiQk7DD7gWuwthiBAbCq8rsLo1s9QudyPUq3GwUNVHD86rttrcrTe3m+WiZXFyy2l00HbXhyoyrA7BNIcY2raSwCFKKJP9iWVddreUpRHMEopLFnEoFRlz8Gx5zJPujVAOOtgUOWkGZDLC5woi7kUHjcO9J2ZhouLQC+Z63kwxh8p4I5TNGTFGM1NVELV1Pavrm+v9brt37T/80lt57Bkg836/Bbyp6yryMA4GTqHaN+2exETUYcUhvlhvAaqmU91LfmBW4DAwKjd0KpAJxBCZlBLOLsuVkITpuR3WAww7SACLTCber9a5vUJ2yiQCCHT1mf36f8PDABCxZaQDK4dU3QUsKIlscpFDWa6kZSpeFDLlS5kuW5ERASTiZqYl1jjcy6IYIWdyLkMNYhJhsTxf7qrl9X5Ihs1mPW/bwLTf7fb7vF/vZ03NhOOjZVXHIRtcjuZtv9uFIAaq60CE2WwWqwhNBGWmwAz3wEwOIp50qDQtlBCO00KC7GFahQRidmEwO0AUiKNIVVVlqwgkBLr/7lG0GwSXKTepUmCpYimkyvYTI0AETBzkFYphed5EN7q7Hsj4aNm88fAUakIcA7puN46DaY5Mu81ul0yXq46DUbHXhNURy3qiJTA5F8DX7iVawEGEOdV45fSUWZwSgWAeSI7PMC3AOzDB3MfNLYdgzKZpqj4moIUIE2GRHQCx+dD/1t/1T77FJAZ1Qlk0IWxMDGcUqWZBLYvskic7M2JhDiTBWYSmNQHlTJe7nV1L+nM3uE7mUsIOkBPUQOzMrinXs12Y790dblmPV8vQ1F3fadL17S4ILU5W7j5bNBMTWlOsKiJBkNmsjXUVKzk+O6lCCG5RYiVVkPK8yqK6CIPlUgEUzmpZ21GwUBNxJwThKCIsMbZ13YQqhChuREVZVrYCgJikFD0cBQwmYQsksfCBSlsgAhaIBLNMPD2bAzLKzDg+Onr54jbEihgPz5bClM37NMC968btZlfHuFgsbrab63G02SyPSoTATm9/6ewv/HV570vJErsQCg2QQEWhW/ZXTIZp96sU3GDqh+DCXEWenRT4i5zhXFg7vr2WaumObDq5kZQyuSDDr9nDsX77n/hv/YIPVjwcQdP+RGM2dgrOZcUGwIHB4MBTLVzYDCkVSq8XMmhxry3mwsLTtqkCKGBiTjuTETxQFlFicu+HMbWrbXJn8WzjMD54eK45jWY7Tfv17WLe7HYdC1fCDGLhpq0856aqQpC6jqcnR4G5nS9EuKojYJNLBDOFyBLLGolp/AMiKcbtbDCKTFwWbZXiocwsagIFEgJYili/oJdCEp1ZYgURCYGDcIhSNRJqQBxldQGYK0IsadHUVYslnriDROoYa0HXDTcXN01dH6/mx8cz0wQFE3EQNdvvdhwDS9jktCsOzRw81uHJY/voTx3/+f99/MpPkO6Kmech1PCUUaRAD6/YOQCK/ys54Bl1K7NjHDQ503E3z8Oa5sti2HxIffd/+D5fMcDjr/6/+PoqCDs8gNkAzURiCjcjGAkmU2A3grvlw9dP7lYsKAF2BgeesmapsYlMzcvzkwlJdDjGDC9r+IxDMCOVdifNiDCYZbWTh+dSRwillIdumC+aGJgMi3ameYSIMh2fLjWNxW/QXJs6tLOmbuZwIyksPwMVJbyU/Sw+rURil2BEMUawhBhiKJmFYzMLsZIQSAJihAiFYE7Esa5nIhVCCG0TZzOJtdRVrGsWYRYSsaniL/V1YAkEYYoigUhsMp0WdQILSJhQBz5aLK9eXllKVS2rozYGZpK2qeE2jrnr+yH1w24P8NgupZ0jZXNtjh6bZH7y4fGf/9/xH/05p3yI9ezlZpZlmK/R3e9zmQNwI/IwX/DsqCgx73/Ccs7dOs6OxI0tE0+7Ou/T3qsynBHos+8WHmko+zWUICCRoi8moqQZIGEUAxHiUNzgbHK4lCLUJGYDMWuxlaNDIVlgYzeHl7kvDCQINmQKZK5uZscPUlX3SV1pt+/efOeddjFbb3YpjTqO4haFuzE1cXaz6UIzL/lwTGk2W/S7u9XJqm2a2dHMNSFnVgKLB0ACcShb65iJqSKJEmOJXBwiEQUB2IkEXId6IQIHsTRSsUhUzUESC6umKJHyaJbcEOrWLZfsKhKJzDA5RBfdmJmxsEDMnQMFuCbLqQBixQ0IedSmCkMaJPBiuTxd7WbVzbYfadqRQl0/Nps9kw623IKHqqlwq8J08mYly2Hc8IO3V3/2f7ubz7b/7Fco6bRADsaMaYnJpLg7LFYoUl4SwKldUL2g0qs5HOrGOfe238psRWk0zaWTsmk/Cw4C8sMAFaOVs2rgab1vEuT7vc4iVFwjHUTEwhKYuYCqNEE4xQ+7bPGYnMGmog1wtcLImVSo5iFMZq1ETBmJ2BfLrs/V6jRntE11cvxgVEPFQz/aMMYgiVA1kdgWR0sSYeYYArktj1dBpGJXHY+OFt1mF6TSaeIaDKEkrmLtZASJLJFJEBuRSjgKiTBXHKp61nAVuZlJO69mM4mNUzSqJMyEa+LKJISqMUSlqm4a5sBoiGuugsQYgoBATCFWRBJCYObJPt9VJJBUTuLu4zgUYU4BoocxD1mlro9Wi9OT2WzWMlE1+b5zt93n5DfXW23atFhm5jxb8OljkAtHtx5Hp8uf+0/mP//nraqATOqFrPP7FHf3jvaATO7TxKs3pJ6h7PR1o7KlsNvmoZN2aeOIlAgkfGCPHuSXfhjEBzI1LU24F7kOnA0ZUDZSy2XkhWJRW8yXbIJ0SA1E5uZmLJUTnLP75OhRWGAMyuocBG502LdS2juOsc9AqLuUO3AehmS2XK2Ext36GtWs7zvvhtBI5LqKITQxw3dXd8vlsu92p8dHQx41jU3F83kdiLvdtsjFSSI8EgIkIARiGlNq2xmXaQORhKpQSykIx0okkJDb6BBNWaRsG+HYNkLcbe4sJc1jqRhCrJQCxSaIaa85d26WNKtq1nEcNKexH/aqBnLNqdttWIQLF5FYVU0TsXNAFVgGyr2Gxuo2rI7bu53u9nsCmWblYKqcUxr3w35/mYcmVM3pCc+O1EcnhRJl19nJ4mf+I6na9T/827reCrGr2rQitMwcUNZTTDuHyZRQnb+BIOaKsqgeMCDv10GIm1m6veGcD+MtP8xc70ddcPcAKow8BktxJSxM0GIfSMaqmUSs+DQXdQyzcHFFYHNn51zKIGJ39jIhh5fhAwxuysql5yIvpFJzxBE86ujtshuTL08kNhS72dHi5vpCYrXX5CmZ2WxxPOz62SImLUuyqF40pv1ifnqxGZo6rM6WHCSNSYdMzRxV6xyIK4o1YoMYzbSeRWYCR6MgEkAVqIrNHO4IUWE5jcLQoQuh7VMmEgmBhUcg9X0l0ZyyJcvZCQJysuvrF9dXL/e7zc3ldTfsLSVXHYZRQkhpXG93290e5lGTu1Vt3bb1g/MzoqApM5AVIsHUumQz5mZ2NF/czBe23fWFJD0MOTKPyUOy/XYfBA9F2uUyrk6zMYOyqrOTKtV180f+Ejerm3/wN/XyWijA1IUOuLgzi7mTTmw8qjQcP4rMyby47JelGdject1yVTm0dNEiki3zYaRzf3oICGUW6JPJaAG5CM7FiZiFHVyEvaHMNJ3VzEc3LWYojKziUE9lnO9EOCRbRjAYMU1+/YV/58ZEg1NS8nrW180Q58o1m1azaswqJN2+33UDO+q2ZWC+mLnlEKO00jT9fNZoH+Jyke+2j984nc+qEMjVYQypnEK37xHUu67f9yCXwAwZ+gThpm6Oj1ez+VzqZrY8jrGuUi2B3bORsZMlNTBxrOuaYjCzQLDcex7hCe55SN1ue3Nz/eknH/ddt91sTOlm3d1cXh4t5hxk169dLUqIYc6BRFXzEKv4/Pnl9fW2bdumCWG6px6o2u3zscemoqOTo+ZiHyNVdTyV6vnFnTtyNjXqXdoYRzSYnw5dblfS74ambfq+F45IRm2IP/HvrhaLzS/8DfvicxMhcaJQYFopHCliOBOZNw0vV2V/UPE/8kL+2t1yPWepJkkyHyYZE6zjxVoJADkFL+b78JwzeRmHvhrv56xw40INUjg7sVDWCXx0npY+SIBrSbTO7g4hcqeyBpyFzNhKG2AgCLGZqwZJUqd2WdVHm03XzpsFL4Z9H2d12u7HbszdSA11uy2zvPH4wWa7d0FVV0K+PF5uM1VVfbSMSXPDcehz4CYpfft3vjkOowJqyMlm8zkLLxbL7b7fD4mJ67oJEhZHs3YWz45PHpw9ni/mVSUxChEkBGcmG8kzJ5YQNWfLo6WkZhnedV035ovnL/Ko+91YhTpZ9/B0+fBsGUPlEol81sS2bZaLxTj2Nqbb68ucukePHn722bNnzy92Q79YNG89WqllEcndyCy7rotVrAOWi5kDJByYirEfD2m32R4tH2149ubDd8h56LdV1Y45lXWhYx7iGLmi6oN/6/gvLte/9F/6d38PFIjhZmRQ2ITVsptnr1dhcVb8SKzYDDND4bt1aJfEFXkuklKZ/AH9HpcqicfBQcTVjIlcHU4s4mbF9KA4vpadRCibtxJRUGefdk+DcsmebixCZEn8fgA3/S0qXnPMIASaenepiXi0lGRZn59dX26lUIOrGE0TkVnerG+Hwd49P0n7braQ+Wo+jOMIim0V2BI3t3c3mlE14poWq7OnHz/vb+6uv7W/u9ser46XJyeL+VHdNnVTl8b47KQ6g3TbDeUM1X7dD9u9diM7uv1isZi17ayqo7pJiOymAyvgtbpbHvo0dnAbs+12+10/5LE7WjSBTeCWSDVLqKq6CbFp2jbEAHI3m4XKJLRP3uy7Do7jk/P3vrR7+uL5d77z3S+eXj96eEYh5TxyqO5eXs0rX6yai3UfRHLXhyBFl5bGfHu3WS7n+Y2Vz88pkI45thZiTONIrrOq6bq+JmFhf+/Hl3/+P9v+4n8x/uvfNuYi3TQATmUgYMahXchsKVRsYOGgYJS9H/e38ewcLAQyt7K041DnTGZexcWQ3CdOk010OJi+sq+eqmqapIRlljG9CyYHSjJiZsuasxWXmmmKW7hnZjxB2QYDc5s1uY/ulpSpqun0ZNMnuMusFuFutw2hMrPLy6txzCnpOA4c6fzh49n8+FrWcG3mLZPNl8fzvmPg/OFxGsYQ5Pvf+b526dGTR1/+yodHx8tmtuRQSQgxxqZtx6Rj0r7bjzPPfe85B14oQaK463a3UTaOgQOECyVFXBMzaTLNyTS7quaUU9axD5qXTUiWhJKn7JpNFUgJTE6dGgnXVRDiISc92EQ4GYvPj+IH80dNwPe+84N+yLGpkiUzgtQcxgePzp4+XRc0pKpEBxhAajmn3X671dU2oVWNsS7K6jrGcRiMtarDMOybdhY00eOPlv/Bf7Zt/h/pX/6yeuPQ0v6U7dAA+HjF9Wxib03bGh1qNmypeeewDAeHfnmSnN23V6XwCa85BRxmpFNmm7asTv/LJ2I6G6zYxwkfOr4S8HiyUzGoOwUmCFwPuLMTkWo2Nw7N5N0wm2FxtF/vkuamXgYhE6IQN9c3m9u73S49PH8gpu2ikSoMSatmIT7GgBilR5AQ2nk1Xy5SY4BUoX73K++/8daj1emJG1d1QwKWAA+elVU5jxXALDmGDGeWSiRWzOJKlDWP4yCuVRKORnVN07DY2D2n0XJSTTCN5ElT6ru+26dhGMfREow5CqF1C0auNWPfdeRu2cxyyr1p0rIKk9nNT4+PxrffvLi5Y/M61mYkVTM/mo3721lbbTddjOH4pN4+vRSuc7LIsd/3t7fbzXqz6rumrlyzhGBmwuJmxFxVcRw6DpE9yenj5b/313ft0ebX/kFZwUs26cmMIKtTis39MNPL9qmk3u+5PXLoxBsuyyF8GveWsyEsaupAMENhmBcf5DKSBIvniY9mOm1GYRYj98O85H4zE4GL3lhIDEbknhJg08JEJhU42BSeLIMqxZhVpfHqeD92fd9RqAQKyxLqIQ2bm7s8OhHGYT/2fPrgdHW22mzviLkKVVVTiPXt9Z4sHK9mVdPEmjXXH3743sMHJyHWYz8Kh143ZjAnNQCIMQ5pTFkZNHRDSolpCMRD4BC4bqrAZh3Ua0UlDE7kkbmKjGrMOyc2zzkNOad+6LfbTbfbj8PYj8kdY/Jdl1YPHpiEumpY6sFJ0y4Pvfa9pSHnxNCUsrlJKDx0hMDztgaTVJXnbKZD8mY2q9tqvx/bpsqjMXMIosOQ0ghpx6yb7d1+c9fM20rgVHnZCcpFHCAintPgoRLmcHTGf+avUrvc/OP/lpJpse5zItKweuwSnYpngYmDJGRNPu5jnAtNUCJzmBRfjimOlM2P7kYIRBMLDAYvMwYnioG8OLSxm7GIa/GVMSaIBMCzmjBzMSE0EMyghTDEZXGcmU87klEA0lS2VFh2dz+a7wi7dccc6+OFhOiQUMfd0KnmgsgGJgLnzGY+Zq/ms6rCbFYbRF+uOeL0/GHdCCiub0aY9l0vo00jNkAV4JBVqzoOKSnInLabTR57z8rmTVWxEMHHvrM08GIhZIHgQh4qZgqhidUSjJQGIpimbr/ebbb79W5ImpwyiMC7oR8cXdJxl0dNJHCzu6sLaCbTfrOxbCwqTGYamFjIYeM4VIGkChnabdfHRyfd/up0dXp8fHR3vYtVoLGvo4CZQ3DLwzAOQ7q7ucxDZ9n2w34WKiIhIc05hDBtjiJHTiYOJmpPl3/ir9DxavtLf4uu7jxUBPMovDijsu2lCPMIBkIa3BOqYBOfygtLtPzAxCm7Z104BdOJcwJ2CjbJYkpEMWcyYUKhthoxUTFOMgOJeFnXVLy5aOIWuZfVwcUycFo4a2X7DIMk5DGZW6eazKvlUeFBpJxj04RQs8jQj5o1isAzkS6WjQF11WpWqUOs2vVuqKomq50/PGYfm/n500+/q6N1+1FTX5xxDlvCxYGk6FM/qifN27s7YQihjXHUnFWbqjkKza7vwQZkJpVAoRrNgsGJlZDIck6D25jGfr/fqSnHKvdq6rv1th/s+XrznU+ehnqRRLLr0fxos9m+uLysQmihsyin86YJh5kMWQwkDK4k1nUMrOpt0/b70DSLskksxFjJWDENbrGOufeUdL/fd7tNv90IiQH9flfVLQtJkJxzoQSZU1XVY7acPVDv7bz++p+L7ent3/8v/fkzChWqyItjEin0qXIgDG59584cl2bTZt57Juv9SpLCAjSzyZGkkHB8Yta6u4JJWDwrmblQcTiY1psT25gdkKrCZKri5lqKKlUVEZ/2ujFJdDPLZf2ic2COccyeFCm0GionkghwyCm3YoYc6pk7GbTmKlTRwSerpar1w1gFni9nUsVxvXbi5emDxWKV+w2HeP3ihY4Du49j0hFERHXM4KtNf7fvP3txUS9P9sP45ltv3d2scxp0GFd1OFs2CjpezI9WRxbjoBn9PgjVVZ1zVgzcb9ltGJK55Zz7se+HfXaSZhGkTtpt93f7Lv/g2cW3Xlxd74bZsm2X85RHG79Y32x7TULE7kHsuK2frI5XTQjgOsTIVjXcRg4lJIdIVVXcrGbHy+PjZaxCZEgQAYsjdRZClXLudrvN3d2Q+iC1MGHqj8siLCMihphaFFbNak46VhL0R/7kyXJ59w/+Zv7270FmMj8ugpgJ6AMLaBg6c6BuQDDORAzXiZ1sBy57GbMDIAS4C7MWyK4UReZGoEIPUzN1yERsNrMQAgBVQ/bCM3LFgTw3OaCiUOvd4Mmn/eyAoxgrm+aBa523YdYkJhvHKtYJVtWhL148ZpGkDjFWddXE2EjX94vZPARvm1apBsfkfna8atq2s3FM2u/74Nhvd9lcEwbHZ88uPrtef3G72/dpGMcQX65Wy17Qtu3Vuqur2bZPL7bXy6bJY3738aPV6qFZN6T1br+r61piG0hyt+/Vcs4pj2Meu74fkkJitTyxpLWk5+v+219c33H48T/2J17ebu42Fw/PVhcvLqvZ4uSJffa9H6S+v7m9I8H1brzcdO+drc4X7Xnbtm0Mkts61nVNoPVmy+QSWVXni3nbhNmsXt9R08YqtrvNvq4jEY1j2m63VxeffpS+lhQhtFy2SbG7+zimWFcOTJIBIIRg7qbKovzu11Z/cXX7i38jP/su6gWmJR0o+B4xbNgRs7OglKhTSVuYpHTfW90PtMru8TJ5L3wPMgczck40Dc9I1cQnqZiZQmSilmWjYoNc9hdlJStbpE2mXRnZp9KaiFA0cKY21NGX87pux9FjrIdxaJcNRwybsdvsd+tN1TQcxFTPHzwgkZx7z8Ns1cwW812SKrRNlVcnJ1IFSs3uumNnVyXibsw3u/QvP3768eVtBrn7YjZbPDh++OhBzn1OdvTG0cMnb6rWP/+n//Qv/+IvPPvke1U/XLx88eDJk/b0we1l3w/b1KdRejdYsoF3DqTUW0qqOmaTum7rKtnw7O7u45eXq7ff+/k/+W9/8JUf+n//t//NeV783je/uVycffKDT995/92Hb739kz/5U/v15ld/+R9dXL7Yjuk7L6434xKBTs8fP37wKIpTJZY0DIPlsa2bqm4AK8WkMNp5PSgPw1BVoXQtm832xbNP7q4vTx49GYcRTlXT5Ml2zXLOxfUfZVpOxMymmTJxMHr4zvG//7/pvvXPuI7ur+2ALaLc1EsMHALZRM9FYYuaMYkdlo7dD7HYXYnKUTO4mxfpArvCkxsxC4dSIqmxuhV+LBeKKBeKpgNU5EchsnCoojMm8mhkhBKKGGBSZI50fKrmfbeLpMMwCFMbud/v6qYa9tu+6+vIIuzqy5NTDo2IZO9WZ+fguROuL1/Ol8tm1rr60dHZ0A1RqkKJe3q9+aff/uTblzdgWcyaP/PzP/+X/mf/i/c/+PKjNx7d3u7GES+ePSW2+WL20Ycf/dX/+D/9n/6Hf/X80Vub3dbyvqljVc9Sts1mPQ7dsO9T1w/dPvWd9mPqk44ZEBapKjbki+vbt5988LM/8yceP340P56//f77kOaddz64ePns6HQO8RD47TeefO3Hf+xn/vgfPzs9IZDCUx6X8+attx89fHhyfHbc1PVsPqsYkYgQsvnR8SLUDUVp2rauazYwscQwjilI6Hf7Ybu7ePFURMxUTbMmEeayi4lIGG7qWaNIWcooRTPkAFCv3jz6+v8kLB4VPhjABfIxIx/3HOtCUrGD7uIA7702+LSyxwyBQFkVUSBiSVGs0dWICIGJyM1KypvWsap5acrIJgMyYhYyMmeHw0p+ZFJ1ssJRK5tlOMSYxzEFyTHkUZNbHepYh6qpAqMbtB93++02CFcxhBCrWb1cLrJqHobjk5XEBsTjMOy32/OHbzKTgmbVjCy1syoGpGQvb2/Mhrcenh7Nlh998OHX/9gfO3n81rPLl3e3L7/0lQ/X1+u33n6iWn34wZdDMO3vHizqH//gvU8+x17H1bgvq5WHcRz6ziPBysfklFJOOQ9ZU7YhqavUdPTgQc3V1Xe/sbn+/Pu/+5uSw/NPP0OIb77/5XHsxfGTP/ajuVv/s1/77U8//v4by+O3zs9+4ke+/NZxW1c+byuOEkMFFh9zlMAwIJelrwRumhn5rqmkD0YMFylFhqvt13fry5c3Fxen54+GfpAoZCzCZpxzqqp40BfzxImZZkFajPaoCgy6Dx9ccpKZbtcUa+eKJuo+E8lEKrTpEFHJMgfmNsHcs5JQcTxxM8tWSOBOTkIEaFZ2dpCAi73FlPEKj0LMlEhRFiGXdso9w604mIKgbqRZQXZ0vHevCHCY5qS6OJ65537fUbPQnJfzhRCPaTxZnkiMo+YQwtHRcVU1aRyef/Fp0zRVM4sh1FUYh5yHcbGcmc+6Xf9zP/1TFuLtev/05e1wd/Vr//CX3njn/R9+553vwkNTvff2l2MU6jd4/r3f+vsfB2F2h+R3P3yvXra7vtt1ezMnRx5HRjTzIlFVN80KA6kNfbq92y0W8aMPPxhyZxaD0cXFS074yQ/e8XqePQzd/vL5009+91//m7vbs5P5j7z/qG3bR2enD8/n83ntSfOYAsfAhIqSe91Uw35XVaGu5h22bTuDQ5ibSkTyrG3cRTjsuoGJNI3d3XW3vdOTExIRaczBwupJQpVHjRzJufjDMZEWAKXUJMJKSu4HE+1DyjLV7VqaCjFCCYjMgsK1lFdRp0g6CzgcIFSWA6PQitWn1TTmxLA8bfQDuasVl0+fTp6b2oQKKZhFkScCe+HQg6j45Cq5Z5CwWu+8Nx6GLDN3tmG7qU5Oc+6SYr++qSiMYzpa1MOQnX1xfNQcHaXbW3fMj09Hs323sWyhbhZHyyAkEoYhi/tssdDszWx1FmTMeXU8LpoWJE6y7zf7z9bnRCfH56vT1eMnjySPvt2ANNSVhGhw0zR0u+1um7oB/aAhwNkdmg1u2ROLMMDCZMSat+vdkOazBbXzs/16GwI/fuOxejIijnU/pM1GH4TjYWzm7ZsiANQpzGezWVu3VaQYrQmuBvfIbCyBYxr6ZnbMxHkYqkoMJEKzOIubXkT6biwcdRbZb4fn3/vWkwfLq7tvh3qRZm09X+WmVScLDcVaqarqRp1i1RhxUTOxxKRaRAjTVBwocm2UkfewkaMFOYENRNmzTOyeqSqaNq0e/C2CalFWTeiPw8u/OFB8iByqBnCh+xfJOJyLJoLKr8oKMwI4hpyyZ0gVFOqU4VCU+TpGR54dJRGOVXbSrEPKjec0eLftu93gofeUm8Vi13Whbh+88ZaEFna7WCylbo1883xzcXn94Q/9eFtJHnKUttvcCLiqa2pEYuOk5jTOaT6fqWUJQSSmpGao67ZuQhy3nhMqd67GMafBJIY09N1mY8OWho7VQhtjrGMIZmTuRelq7kQcmNOYrUOf0Q+6WK7aapbTULbrCJFYmgWrjuPJ4mwcBieYwQ0SuIohhrL20IQYwWHu5kwsItth1+JYrQjGyN1WZ6vNSLGt/XafNDGTOBg82LAbbj/717/Bx2He3Yy7zS4GBHKuSKqqrjTOeDaXWEnTcj2zWFPTSrXwWIdqTlXjVUNSEQukAUUKQqOm/jY+eIM4AJmFmYP7UEzW7/VDU7Vjbm7B1KEugcsKzrKvtdRGDDZTHGDpCd5z4UBMpLmobQzsSkYcyFmzWlIiVjMIk4lnGBOkMjNq676db+62kLZyvn5+NTs/W1++cJbdtk/OuuvqGEGom+r8yePVw8fqLBKyQw0Me/n0i/lydXxyXkferLd1O7+9ehaAWFVBAkTUCUAMEuMiq6qquUsdQgghRrixKYU4qrtZJcEd43inY5f6DfV7dH0VQwhMyKoTAYo5OBV7vImhb6552JOmETkcnzWzZWQx1VJYxkDBsmuuYxk9FkOAzAwCNCmTwm3a427mboEFKeu4TWlHdVPNluPQwyiCAotnrapKTPtOzYzAqmLtqn/4zqN33gmm0nfobrvrZzRs0e35+sa++ITyOAwjlbfOIDBYLAoF4ToiRJeIULmIh5Ys+vPvh6/8EZ8g5jD1XXQQnB+0DIc+ywMziB1mJVAxyEMxLfdS+BrbRD8sjNcwWWkzOQsZkM2JpPh8uTpZ0YWBzck9ExkI6lxHq9rN3caYm0aef/a5ZbPLC4mMUI9JNVC/2TZ1lBCZpG6aYjq27/u2Cf12ndOYuvH87beIPe02RZdm+z2rcgiqxp6IghOJSOVWVbU5qbtw8LK4FmzqDhKKxA7TfthT2mPsRDtApa4kEpGppuJGo+oShdzJcjZ10yZIYE7JlJStz92tknE1FxFiYeHiYEqRPIiOUE0wI7grzJW5tK9u5AyGZrLBNUMNpsN+XVezvk2V5Rw49mrmDCo7z0KUnIxFxn7Mw3D39JOL1emTdz+qzx5xuwxDEmIfM2nvw47HXdpco79Nu2vsttje5f0mrbfoe9ttMfae1HV0TblklaZBWzOjSDUNBjcyQrHRsEkGCkKZwAeikYS9LEXQXPoxYS5Oka4uXBFzHsdCn6BSVJlJZAegFEAHdScMXrzpXDWZAWTGHMWgar7rc58ddVw/veqHoanr1I1p5EQ6uvecRSRS2OkYqtg0wsj7/ciRzTMz9V2XdCTGoq1efPJxuzrdb27SdtdWjVBZusw5K7EUkV/RhTNNGto8pgEcJLgmIoJqGjr2JDDTviFkshCZ2V11GHOogjBXMTImFynPllOqag7CMIpCTEya8v6Ocm91W1UNURA4CzSbuU7mr+6qhfLsmo2gBT91UxR1rGXS3nVBoSapxEFNrTmjVyKCcBVDHvZEYCEDa06b6xcrtn13+cW//Aero6U8eszLR/XJG+H0oczO5eyx1PPCgppBXYGcLPfjfit5QL/RYavdRrc3ut/S5i6vL7KClw/NUC57Yc0U/z/B5Idhk5cDgSiwiYK8rMI5dGxFYOwEF87mTAgiZYUEpmHnIf07IRuEcbC2MFV2QI2YVCeskQF13u7H7GF/u9cgbDIOfT92YTbbj2PKrLPZPIac4YEfnJ0CvN1uWarUrcOsUbWrq0uJYTZrx36/2a3Pnjy5efaMxpHr1tLIxM4QuOXsIDdoNhIiFkBIuI5ciaRh8JwYloa+EiZ2U63YSChQpZrzqGzMng0aIhfLtZTSOIxpzJp15KFtajcLEgp7tRBqOQ/umh0scVqW5yam7EZsKauPOt29QJNkJCuTwkxEmCMpC1f9OHSbzfx0ZRhBfUqJg+x2u0YoZa2jjMnMvE8ptPVwu2kq7y+vqo+/T2ZDU4cotljKwwfh+AGfvlk/fCcsTml2hnpJ85arNobKwQFwU3eFq6tm7SUPFmZAcVhBMbaxQsAqpc60W2YqeYKW7GJlEsLQYkvrpJMhF5vbOJqbSKAQmLjskqEygi8WG4VjiHvFMBkzSIid3YRIYxypXq93OzULIZnux1GYhlEt5v2+H7IIqA2hWtaItB/Xq7DIY69pg9QB82Hsri9exHq+PFq+/Ozj3c1Gh2S7jcB03EuswULQIsJWTcyheLm4GDFZVqXspnALTsIUo8Dd1YgZXHkkENJdGvtENTFpiGomJGyaHFrUiGqeR43ZJYbAQYiCBImVFl9sVyOQZ7GCcJU9cVa+hCw+uZ6pw81yAooKOpO5IJimUAXvc2gWs+Wp6k1WvrnbulkgSJCUFexBKCd3x83QnZOnZtaKkY06KKma9nS5zZ89ywQI+kVF8yYcn/vxI1m9wceP9OQhluehOaK6RWwIkTkEiagWbIC7Td3XJNUvHNNpBFEcZ92LIuJwpLTYkTszs8HIyX3ySWaGThRDMytbaQoh0MxEIoHMlYJY6dfL7yTKpk6UnFId1wP2ahBJeejUCdBMSYkSA1EC90NaifRpWC1PQ3BxG7bXXbebtUKMfr8z06OTpdv44vNPjhYLH4bbly8XMeq45xDK+tnIUc1cTeBmqKpoDsu9g801uksITijacHYyYvNgDXlO49ClbClZVZGIExmzu6dpa2AIqplYslun+fT4KFIk1aqOIjW5WNkyBycIGGo5FL5JGRKJGLnlnMfRNJsquTkMZWkjmVvutvvF6NkRm5nEumrmffdMQFUTu3U2A7GoexVFh2TmOYhZGpJR2/jdoEBFIJZivAdzSkbDKNejf742+X5mIHDXtDRf4uiYVw/59I14+piPzsP8hNpjCi1zIApU5FlctmdNXjNBxA9Rh4gCl70Ph2XsZIYxO4gDW1aoIxQ3LnZ3zRkAcyy6wEmHCncrPHZMRoIcXE0dxJJS9qrqs/WDQSpjeAKMY+DsCvJ911GI+32nQczAElM2ZpUATaONo4UI8u16zUyztt3e3MJcomxvL3O3V1q2ItDMHGBO2rFbTYHBBkc2AgQU4gwc7yU+DE9jklhJJdk1Vmy9b9Ypq3OIwpGcCYEhxCEIqWZV1ZzNPQMh6dCPs5NFW9eec+SGnMzygWECzZnK3JGlSNsAI1d3DbBsWqS9haWFgoCRA55Sl81jiOtNp6Pf3m6K8FKYYohDGl29EYoVwy2NGtk0pV2QZbbiD+nZYAjFgEaswLogJnNRSiN4u5PLfcLnmb7pIvumorbi5YqPTvn4gZw+jKdvpYuXsNHJzDBpqNSMC/dimreHskipMBQx2XE5iCwbsZCQuZlN+2tVVUIw8/8fU//xa2uWpvlhr1lrfWa7Y66PGy4z0lWasllNtmFRaoJoSoRICK2JONVEgMCB/gBNNdGAAwHkVBQkAuJAYkMQgRbZrfbdVd1dVVlVmRkZLsNfc8w+23xmrddosPaJqosEMhFx7o3Ic9Ze5nmf5/cg1eQ/18oCr95Ct4hc3Ny1TnTnnJ1CAcrq+Thjapkp70dVJ2MgMMngQSECcOJQZc8yT2BlOOwUAksu0VVsv92mJoLN+904zQPT5ri7I3EopV5w6HQIKyNBtR05gHmIkSlyJCCqCQQCdrfQr0NMRp4I5jIOh91wHNSMsTolOQQ+sdzdmGIIDkCmqgKF4XB37JarzeV5AEJFzZmN1erFDhWCFlWegACBwV3KBKrsLmAAhqZ1vujitYE6j9mM5/FA2N3dXaVuhdTuDsfFst3d3ixXfdf1x3lr6uIaEjmyEihrKcX7XiOn48ypojNPRoiqA1W3jAMZ1WcLKrDVpIMSHdT3R315EPgcAa1BaBMIYVY4JXkdAWto1O+57u4eTqw/5grMrtaLe3DCiSZWk4SqxkRcqRsIENhUofg3enat9qw2dgcqChxaASqTiai1cXcY29A0TcrjLG5dbGhmcDoMh8XFubpNU1m0lqe8TtFUzDygaKF5mgmta/i4u5qypQimRY6FiU0LKBsUQI0hIFWIkJMCAYkZoGMEdGIMGFOMHQFTYAyRQnB2R8s72d4djndT4EDBzZWZUgqxiUgBMKiD4bFtu2EcyzwjpjzOwFeXDx8uztYMLMdRpNSWERdJDVowUxQr4GgqhGYu4AauTCQOKlpJAUCIBik1g89lPgxlGo5jt1i/fPlCxnHZp8jQ920IMQXObogQahBxffHg9386HkaWkW1qxlFffhiazg7bsj+iMkKtJRFQggCKzPcYWUZSMEA3rG/tGkMALOB5IudTKQyT3cN1/R4FWQ+oQAZONe4CTFxrQ8CrpmH2zSNNFZEQUEvBEN0cixCc2terqIyIel9HPBfJgqGNuYgbEsfb3RFmmN0oNt2iP47HELlvu2FUwCwq3XLRLhaHscSAFYM+jnN/FnnRD8c7LTMwj2POHlqmPB1gpkA1x1OPVFMt5FgdrmqCJ95WYCRQ4MAEhE6ha0ObOHUUIrLn+Tjsx93Vjh0IjIhiDE3ThnbRrC+pWTKGeToaWtM0fduqkpki+vHmen+zvbh8wqnh2IScTaTM2YqYZDLn0KBiKQXcqDZEmbmZqdUIgaOrGRhiYEVx12l7VyiqAIZmKtItWkDdnC2aJqlRiGHWQgBuyk0zSrHN2+vn5zFw27XBVD76J+vf+Fs+Ti//X/8VbK9DHmx13n3rN/x4N372a7rdOgO0wRVBq1+HXCsWDE8/RIeaboVT8gGo2p9PwmDdKBDAA5xywgDiJzgLk5eCUiMl94jeU0y8grvA3VzglHaooAfVil+7l3cQmrYwk1se8tHNFLRov2pudvvF2Xm/WJp514ZiysJoFJBTirfjPoYm+4x7AGAzYIB5HKv5BJERCAHnYQrasxkFzqWkEGoa1R2Jooi4A/Gp8bXeUgGp6RdpsXLkkAK1PcXooDqP26srFFmvOmIMMTZNwyl13ers2bdpucl5sKuXZdynplmulqF3yYIi4zTfvLp6+tbUxQBElBrihEAFZyQwQNBquiqmho6EJGpaiqsbIFCNiJA7oqiUmRo+7o6zkacuj6PMY2Tvmnh5eSlSXrzaqhPWJjthN+e827/4aP3gb9h8OHzxQTvtytcfLH78H/Ibz7v3fkwR6faVPXh29gf/Wdl+uf+v/49h069/7z/ki2c63A0f/cn0p/+KZsC+iWcXMo88TTbPIGoAhhEd8DRqICB2NUMGkEpIB4RgbujIhKJugEiurkRkp9Jo82+g5QBwaiWqi+9UkKSnW/a9Ps1c1JQCpOhSdMpaYDSDECACUgghznl2B246DL4+j5Ps5jy7NGUe+7ZvEjcJvHpVVUmtTNPqbMn9oonBx0mHfUwhz3MiUlMTICasXSUOAK5FY4hIFZ7NSBxSG7s+ditsemLimCim+4BcnoZxtV6t1gtOATHOc8mix2mQ669pv3URHQ85l1lMObR9x8xeZtzt5zxP09guFoREgRzVNUSAAg4OBkDKTgExgAsDAYVZHRDtNCQBNTUARjQxJb/b7ceCizP68tMPpru7LtqjJw+bNh7uhEJjvm9CcJsCRxFdLdtpHAARTMdf/Av5/NNoOf/mx93ls+Vv//vGjd6+TJszjd3h009DHy//F//79OSHEjyqpB/8wfHhf3f39/+v7bd/vPk7/xt1weNBjjf57kX+0z8qH/0CFn188pZOg1/fWJ48JdSJnAzYyU0sVDUPTq9pd4fAEci19qCY1Ha+6gLD+5qxejSeth1zAhQDMwKgIgopuQdVwXn2ogXjXKy49F0LDswExBT41fXdt773fJ4Oq1XHsyM4i2XLHkPTNHlWQEeCuUwAKtMUm0XTrXf7PeYpYquFLaIHBPeigsCsABFBPXK4P70hpTaESDEZEaSIgbUIUvEAquoKOWcTWa/X7WpxUqbMpiJ+3BXAkBauKjnP03ic5pvbLcPtw4cPU8OhSfOU7z3fdYcHrMeiFIpgAMHMLIcQVFi9OCLHpFLqb1GB4miu5phzGadsDnMunbiV3DXc9O36YqNFwfdzFjeMUSNRHuem6SRnBgrM2SwYghFkyy8/Xv3g3wvPvi3Fu7MHhVn2t9MXf7T+nb/Dz7+nu6vhkz+i5aZ587f63/+Pp89+ZU0bLp4iYuGvwuOnbfM/md7+rbv/+3+BZ+vN/+o/t+F489/8F8D5/G/8p0a+/8N/AL/+iDwghlCDNXq6QkN93Wm1BSE6M5q6nmoxa9ccB2ZCq4WMKmAIBA4CTuZYKYSSRcYCRY8ZcuRJZocoVtoQF8vl3W6/Xl+uEb9++frZ4wdqQI1DTEwsBqmJgGhgDMaBHdhVAFsDdoY5e3QdhgIKkkKgQAAqXkF1XhHPMTCHCiKpdV2BmAJDFg+KhKCqkzkhUESOHKiiQ/Jx/OjDTz97ed2l5vvffufiMSNPWjTP5TAcPvvyq6+/vn18sdwsF03odM4pNmgm88QhAJCag5GJMGKpFZbkoV5IyZFBxOpnVM1U1d1VHJmLWJYcFqFsRwYnLE0bNpsHoQmrxfI4Dqnv94fXTaLguW3aaRQmsnluuo5Tun35ZasZ0RE8f/U+jHtcrIBVqUX0vP3UX31Bf+1/yRZuf/4v93/vv6Qnl2f/yX/ePfud5ge/P371viH74er27/2f+Y2nl//T/23z5Lvx3e+VaYurB4Sd9XH11/6j7qf/cXn1pf7z/5G08lM1kN5DCvGEWDc4BT7cwRACslS+gSsCIoGpQ+1nAqjwbUIm5FLjMrExJ82TFZtnG9QlURblplG3aZzDcgkhDGN+/tbzq+vb3Xb/5I3Lm91BnDl1ZL5aLLSMZuBWAm/GWZgq2YSk2O729vECDrN6wT4FBxAzMOPEQGRqEFhMiRCMQNWxiIRYSQ0qWFRAOUV3dycVCRyX6/Ph9rpt+rZb/OAnv3Xx1Q04OsjVq9smJXWfS+7XZz/5jSe/9f1y/uRCy3y4vipqz956AqrzcAhNZI4uQEBSyolRq6Zqpi5FyRVMwEDF1FREzFTUHRgBzayIyqAiEBMD6htvPge0putj0yTN02R5LIkhIKfUxli6rinTvF6vSykNgh+nEKMNQC9fTocv2vaH883HcbFp+su7D/9cbm4QSR1h9wr3hzCrXH/lb/yU1pe0WyKAKQJ0DG2NUplNGCNZmPPQ/ein/ff/QGY7/su/51985Ny6CRgEB3RwDmxqNTsMBKcLjbmDKdXC+JO5pPZ0ILiqIKA5GGHgACpmiozAVGYNAEVkP8lARMTAIau0DQcO8zASgUzy+uXt03ce7l9fTXN58HAzTn4sCDbH0NV6nfE4gD7Mc1kse9ESwHIu0/FIS56UyqSbJqcUQ4hSirq6GBsIQWQWt4DRgciBiOyeoGCmIQUxBQKVaS6iks+fPM7TfHtzs1p2ZxePH/zwvXEWD+Gwvc15NoTztl2fnbsoG2g+HLe3M8CTN95ZpAWClTyqTNw07GyKpmBqLmKiw2GIiOYuYgZYgdeqqqIimqXiAHAcxmGazBpAjim98fzNECIzrdYPDTnMu/1+27bBynh5cb7bT4vFopQSUuQQQkwh0nEYmyYQgA6H8vqr0D08/KP/evk7fyc8ivn9P4TjPl9/0jx5r//2787f+ZeETf/4NxDEjlt0dgBenz/8u/87jz1DGD7519PHf9F976fAxsv16rf+I14shl/84fEP/2FwNDQA92pR8PsmgWo9dQfD2vJ9mvvC6ZlVO6TBawWbQsVnM7O4mSoHEiSdxbKAQC4mFI2RHads/ToCYGgRiYddSX3YXr9My/TWe9/68rNfn/V9f9aUV3ebR48DZB8MoQalC2gxjaAqWu52st9N/nBVhI5Ziug0Tm3PhjQXbThEYnBECu5gChTQajyolIII6CyQuKtSp87iOaNKZHry/Pk8DvMwHoZdYxD7RVoszy4fqcwqFmNjVuZ5L/OkwquLR2cVXmmCRgiuiipDLSIpqqDkaqaKYArirqqillVzUVEzFatcQUcEh3E+AJE5BHB0XJydybxfnT1dnD89HG5K9jkbWD4/75omye3Q9ul4O7OU/P4fDttfjy+/Djo5d8BBD/vywZ/mrz+Wf/uv8voBTSJffkz7cfjZP27f+gm/86Pz//X/Acl49VTm3fH9P2wfPid0K5Jtl8IaPcxffViurrufpFqjQtyJgZfJtZYkgiOJa3CTky3wBErFSsgGQneo8GyzkwoIoZZNGGIAZgcHMS9eXfGcmnnOxKju85SzowOomAwDEcTAzGHOpV0vm84oUd+2169eN6vl87ff221fPn94ocgWeiYZhkMT8ShaciECK7mY5e3N9XU+HKdx6tTCDHTMmkhKFEBgVXWQ4EyhqAQkQ3NA5GgUTnC+YuKFYkTwOU9aanuXAkBMiZn75cZNECIFbpoYm6QBAQmR3FAKOwfqI5ipCIAjIyiQg7miu4LE5AEJyJXAQSmAloye3YuU4mZSiooYQDFwYkd0hDmXwCEX3U3TT374G4vVamB/8MbbRYytaIE8zefn3eXFap6FY2xivJsLgkwf/CK8/zNCDGjUBEePOYx/+o9QLM4s//Zf7X/1izCPRsF+9ke71f9l/dP/NFy+rez57tXhX/73+S/+dfd3vgehnV9/dfv3/8vF3/y7m7f+Vvfebx3P/74Hcm7zq4/z9vPz9/62vfuT/ts/yr/4YydzByYMDGbmSFyVGwMPHEzUxM2NmaoAdLKHndyD7naiSiI6mpoj9mmWwgCarYgZIkVGV1Aq4n3fESEg1GbfFNgRzi5WN/vDcNhfN/HBg4dTluXmcs7Sr9d5ew0yIWLAMOhIIS7Oz69fXoX6+CrSNuH2oJNgMacsIQRFd0Z1rz59J3SkUpQTQwiA5GoUmBhMZysuWVVnyXOFzCkYI5gK8qlLrcIumYEwiBZzD4weQM3EBLhSJa2UujMLIxGh5BlDQA6nBpda8mFe2zdVtSJmRc2RDbCiQGYRNS9ZgPj52+8ch/3jR89ju9x//bnreLW9Wa+6i4tFSOnLz152XVdzhqmQTUeAok1sHLlobiNMM23n4G4p8vVWti9RmYBxdv3n//j60/fjk/c84vT1V/jxR8EyHK91+4nffiUffjYt/tHi6Y/bR9/vfv9vQGyAEA/T8U/+weLJ9/jszfZ3/4Ppk/dZSgkOggEIT3ktxArSUPXaRw4n2k7Vk09qNDGbKqKgYb3fOAIpegETJYUsyhQ8IhdD8OKoRF3XFJ04BQghhLBY4qQQmrS0fn2xdtSSBbt+tdxEx8W627/+fP96oMCSc4gxj9Pjb737+uWLxNEBrm+P5w/6mBpBKYYw58DRERQ8MgFWRTwCoEgBADNVEHBWdCzBTc1BpZRSVAwIiLiGnw0QnYA9xsZM5zwSUYYyDgd0dRcgAHMOAe6BMkWLqRODkgeigDjlOQYjZK0gI3BxFZO6f6uC1E8mk9cQOooqKvmk+elb7xJ726bQnR8Oc4hoyqlt3/ve2xzDiy9eTWNuuv765dzHxFYQw6SGhhTRpODmDLaHCk9FJjcnCXjiB4AV9Y+/GD/6/KSsAALFwx/+/8b3/xiz0JTlF3+6Tf8VPXjTyxHzcf7s39jLD+SDD47v/LPl7/0n7Ts/Su/9CLa/DudnencM4Ay1siWQmYM5V42pFui5E5you3jvAqtlGlZnYgFcVcWzGbhPYy4cobJm3YppVohdW+YpNoFCsBioCevVujF3CgLS9Q2mtN/tnl0+xtS1KS2W7cPnb26//soZh8O4efLgUO5C4LNHj3e3Rwzp5m54/naUm0lS45HBVUsGJiUqaO7UJEQmYIyc1PV0KFfFxlGEwEBmKeaiFhEBIOfiYISIauWYRz5ESoiAoCXPSFif0oAoZrW4uLoREJACV00DKuMMAFQCg9V8ibsZqKmYilmlOBmRec380pxnMVPAIvro6UNRSM1C1VWOkXE3yfn55uLy7Lg/HvZHZAZmBVYRZCzmDJoAgqEUwdoUrDU/5oS1dx4NgQix+tbcT/R5NzLwuyNs9wrIwHY3HP/x/4iByQMFGn/+R1g07sfDP/l/ly8/xK7X42uYC6kCWjBSQkYjBakpLSb0gGjO9f6AQMwGjqfgsIUQa6QLARk4gxmzWX0lo4oHtCaF7CrFU4gqOZs0i3bRd0PR2PRxsQDE2CzMzBEvHjx8medpLlxK13VNah69/d1P//zPBMt+e3j49hsxkUi5ePzs9vUvm8Xyq1c3TNYwOuBcJDaUTQIFNA3OgJU2asQesNJ6TU0woHsQMUBFREFXFVcvXkS0FHEtlgsakiOniIkMNXUtAjMngAiAZZ5Aj3nMJQsGdzCiwKF1QgAUq7Z2FpVqvqgoawBEJiNUdHUTNaMIQGbVsQlZSxbv+/7h04dqatlDGclLijzPst6sY3s2XR3mrI8fP/3k0y9TiJwHRaTYWc4QCdxJimgOq963u9MYwaor6ZukeEXg4DfHiLoxsgKfsCiI7NGzE5qr0OiARZzp9Y1c/UuA4hjAWW+27hzIuf7RbtWublbUwGtjHcAJmHIC70Dt0qlAXkdyUyNAiNGLKWhxATduI7iJ1+oKG6fSLFpkcvdAWHLebJ7IYWradv3kIRqp8vLi8fbqBZk9efQ0NR0nXZ4/ktcvZsBhf8eR5rvdg7cu2kXnfvfZ9fHqZniwXtwc1EI9JSq92Y3QABy4ho8MSQHITwO32nfghEVllqJuhCDz7CYubrOVCdu0RKZ8p4XGxfllxJWzzYdhuN0hKKVgoQWMZRrNRiANjasax2COzKFKS1DldXVDUi/2DVqNAkZFNTdUR+BIiG5AmMb99t3vvqnF8rRdLFbzePfw4nyaBg+8Wj8QhZvXN6lppizmxAjgtCDOefYYOwBoA00zTxlSU21sYOwnQkW1bUGtDKoQSa9VVbWnFd0B9ES0AMSaOq+l50hghMnBAdjNEcELWv0UIlPlawChI4NopSBUIzcgMpGp+qkACg0sMtXWAUdX9TIWqYNYQyYwLSI0FTdHjokKmJMqQAxNm8Q1IDQNU6DAUSadVZZnD66++HI4HpEjAIvj5tEbNy9fUMBhd7h8cnE87t9ebS4vLy5uxrTsf/bzl//Ob7/dIkpxEYlM6sbuRRWpsn7u3Wdep7/kQOoA6KXMRaVosWIkVsZJC3hB95Y8TrvZymRFCfzw5bWpGjoTMYAzQAyFWYkoUBYVzM3C+lWrXtzBokAgQGZiRAIk4ABcUGqNLiM5UEB2JnIDQzZzc5zFEeHi4vzu9lZ9jgFCxLZrd8Px2fN3mti+/OKLr1+8eP7m23/2s1+0XT8MMwE4+jSPbddgdFUInGiW0kWKgUo5wT/NKlAW783F90XS1etwYuvXtHK146gqVhbTCanzTSGSn5w4iAQUOHClNxFxfW+7qp9GEicHg5kxopohsjMTgmkGQzcShXrldAcIiJVfYJxnKQoARMRt301iCtx2rUZEDLubbX95IercdCYFQ1RVpzQpQKTYhqKyunwcuq5DzHlyhybSl599dPngsv3ki8eXyxdf33z02avvfevp3XZWTSkGYqp3GXW32lJ5ahKrdzN2QDNzdwOf8zQcDjaZHub5MAfoGDjnGwQHNQZCYkBnQCc3ArUChgFjGefsWufAylzMjvt5vx27VYwtNl3ArkUCdAwcydFEHdDqf5BqfpMYAJDF3BykoOtxHi8ebUTn6S53m0Up86PHjwwodqvV+syKff7Fi4uHT69e7yV7KRMRxshNl2xrJpoWiYsoA0oJ1FpAUDQAqrbFmmE49TAAh+BIIPXRV9fQyaJFRABOdLKEnIx89YJ7X3lzivuaBUcHc2Ky2idbix2oetXRTrGbeicmV6s6BBravXER1QVcmdiAAGIKgIERNGegIG6BAjexIJrb5sFFBgbzNrb7bInSbjhS2ec8d4s2j1mLpZiGYRRwDE1axbL3w26/WC+tlMVq8/bbz3/1690n5r/67OY7bz85O19AVjPjwI5wcoTUX+qBkSlUyAZxMhNE01wOu/3+5m7aTjADCJPmwJVGJTrP5tikholnM5kHL+JAFEOIUVSEAICMEZnznIvb0eUOhRf44N1HFJkIAycOwb3U2KMhOAWrNZKKWO+oCADIzObGyGer9u72qulWMS7Xm/Ozi0dX21tzR+Sb2+vrm7tnzx5/8Is/MXEM3rQNDnubIMSYGMDBm0DDiIRFDWNbhoyMgEB0usaY1RE3OKDBN4On+hOuhicArKukxsLBHeoyquxSJAdAQjI3hsqqQKvfU9NTXIZCIGQQOJXXGVUsAdXPtjvU/kgCACwC4BCAXYCBAUhUzTx1vQbiJinzbIYpjsUxLkK/NApm2ParPM7D3a0O+2l7Nx6PgMHU6gNA5zmkxXic2uXSAUvRiKGM+fJy85OfvHG+7L+6nv7ozz6PJMwGBCFG5kgh1hevSO31cTMzES9C4E2TiNG8qJZxmG9vDlevt/vtbpymcZxlFk5tuzxDYsnjcTiImDUdLle8WqazDTYJY9P2q67rEXA8Hss8j9O0H6fr3XEWFHHRjOgpRgSsNGtEUoVS3xCOTuRABkBMQKrgRWHRN+RuhrGJMcbz88tcxI04JEf+4ONP3vn2u+9/8Ku2SYzetw1INdQqmYQmZFErRkUwZ59nSq0RnSK7daf4JtIA4JXNWdcuk93PEdxdtdLZ6lYNgCfMlv0V0kU1UABAgOIeqn0LajgIHdwEACA4Gmg2IHJEMAFGBnQiMGekXMQUarknkCO5qmq24p7VCxDFCA7EUeYJHLq+dcf1+uL18Yt53jPgcHsr07Q349ibe9fFtu1iahAtj4eQUpmzLxMyU4yHw3V/tmiXqzefXvzm954dpvz+57dvnHdvv/WEY1BzZhY4gRgAsJQSQgsIFAMQCEhEZsa2i5vzVd+eb7rhcLNPMYSYEobkDg4tEy7aUtTMESD2HeVi00x9a21jkyKyu61c93nEGO6Oh9B3Tv74zct2xQa5/qxUxExrFyoSqdd1wwh0n2zyal3KpXQtm0K/XHSLhIxN309zKVkWy7Ovv3zh6vvtbREtKofDrlv0jMTgKSADZwvoMxISBfVi4wR9b0RsFZNifr8aTj//2lV+yiQ4nJrqHf7KlwHASe47vclOFYvffBmAEwautWfgTq4VWwCVHkgIVcAnDwHq4wS89hmhq5LVFIABghZBJmInZDEvjOYeOQ6TZDMO+OpqC02vrt3i7OLxm8BtnqcyDtNhQPNht9O53N7c5GliCiEkN0kNh9jMh1HMOYama2+uvpLp+OyNt37zN9/54XeetOv+6628vt6qnWiIGAiI3XEWKWJFSi7FCSmymUie3SnGRUSysu8XeraqoTcwyVIyqjKQQ+w3l8uzy7OLBw3GuFp3jx41y7NWY58aVqkNUU3sEGPfLaL7etNRFEJNMcXUZs2lTC5iZupWzOxkDQQgo/t6UQc343GaSIo5YsKu7x8/fju2q1m0qIzz+MknH73x7Pkvf/7+O2++4VrK7AFj27eNe2pbjlFcIzJExhQcmVXJFSPXtIqBqSs4WL3ynECk1ftgjGAmp8Rmheieog1gp7yhExMRVtTHN8ZQdwpO9UaNNVJ+b1o+ja4IEdj9xDqskAtgQKSgeQYgdwV1RHBTA4gxTINIUcFkxDnn/XHeb4/P33szb4/bXXn09sV2e9ctFgnp7vZ1mWZu0jwOx+PYdsuCCODTdHCFfrm5ff16c7m5e/UlzL26clz3Kd7dvCaiNx5f/Og7T2/ujlogZ9re7taLHhpACQEZalYYydRFRKRwDERsrmhuWdw8ds1kR+yt3M1kgTUKAAUc3WO/5Lfe6do2z/Py8QMasx1HaRn2h+HuRo87KGxlNi1mAgTcOKWsJqoNco/AUDOVbiJFRKohEAjcTgo9EQLQPOd64sWeQkpd263OLjfnT4jSYf8KHD75+KMmpl/+7MMy6Veff/a3/ta/+0/+4T/VPBI6mXOIYhrFAcyKTOQeMExmw+RNA8MRAp5EXa7PpUpOOD2sTox/p4raqUyCuut8Q16vy8Xhvibu1PwJSBWl4ngiLFldU+CGFZGj7gBWt71qyXbwomYGFILVoyEwt21IjWMswOJesmaFuOjKPEcOd3fHq1fbN59cXqzjYb+fy3g47EouksvhZquiw/6ABsPhIPM8jINpOR7vUtMyhsVqw0RStMwAKhi4W6/H412TwrfeefyDN59ggGPxFFoCyEXreS5uTqRMGVzd68/PwTEERxJ1U0UXYk0L6s6DhEPBnVAuqGJirvNuexyOvlmly0dwfokXl75YZDdVLwZjPs42jjZMsMduDCtoliE1VTYRVTODavo2MxGtqCqtvD085bJVVcWOw+TuHFm8hITNok9tl+d8PBz3d7uXX1/17eL11x+uV/HP/+T9n//85//e3/6bENy0NE1CQo5EZJkdzIgpGjA4DyMA2onf71SL2U+S4F92o927aPCeGFCLpGsHRF1L97Kzn9poKzWpPsQCV2iFm4qSAzo6WxWJEIjA4ER5h+rsCYEMqmlAze2kHKJFDsDm3JgjGJGxuhNQKSUwvv7863ceL463+W44rJ48bNuFupbxMOUBpnFWabrFPGYd82G/c3juItM0O2Pfny02y+FwHMapzz3P83q9vjvsr66+3Jw/+tGPngPKyy+u9semb9ZerMwFuxiJzaAUwYgKol6KzmAUMLkVE8mjcIMNB3PTNvVhbVltEsl7ok4M4LBlNzE/5Llfnw3Dvmyvx1evynCcNRuLQMZkXRfjsklNiqRowBzBXCRziDnPmkstYhGT+sEjRisA5kqoBsfjcVAjBlNlgr5rF/1SHYbjkQLeXu+7pnn/L37x+FH/+tXts6eP3/+Ln68W3e/+9d//4J/+c1fxom1EcjRAMW1Ta2N2BBZVEU8RcwYkcwQzrGasOiupU8vT+woJToxRdAPimtg8teapVd72/SDqFNo001ByYeIT4Rzrn20A991GcALB3JtPQcGRGUHrHQwBUoqiBaREt2kcmANH6tJiJ4qIbPbGg0uHElCnw6ijTePnyyeXy7a7u7plCtM05iIiWMyRIQ9jyQoA03SkEIHp7METtM9eX98Qscqs47BYLl5vr8f8eddv3njjEs2Ph3ycS5OwlIIwZsC+X7i7mWTBWncHGNAMDJDAQb0QYWT2lqBE8g5tYS4GRcVG0WnevtZXikQck5mhqRFAgoLOTWCKoeUYY5caQkeo1e5Y37jVExdCyDmrmZqKqtePqJmB52maJ90NcjdMDbqDtW2kEIgbFd3evFLyr7/6erPcHG9f0oLOFrRebqBMH//iw9Vq+ea7b7784suWiShymcDrz9mrQx7cQRRi8IJQMwcVaVxjMVxHWwYniRcI6R76SHBicDgAmQEi4ymOd2oPPe1YyDXJdNqjKjeViK241/IIciRiZnVxgVDL3BBrCxcgIqNoqV+MDk1qyH10HebJnIigCeQNL5fdNM9XkzWbBRrj6+3orw93h8BhnHLJkrqIiNM0jIdtLtkgaM5WJOdjv1wd7+h8s7p9eQN2kRclS14t+u12P+Xrp5fL4xa+uj1u7/zxxdpZCdwQ1aTCpERA5sw8MxNTg0gcQtsGnYs7ckACqGx3DdEBRZWITAwBrBSfS4E5pIZCQ4RI1FTtEYwIQ4iMACZIqdKhkdiRRE+gNXVTFVH1SjtQcTMRKzkPk+6y7+ccknRpwYFik7L6fBzmctjvcts0t9vrhGX38tAGf/ru42d//Scvv96//0d//N3f+Fb7+AzGgYlN3VxjYM2FK3DCHdWhDzo6EVVQ0KmTBu9te+B1nbibEQGTny7LUJML9fVzSvYZEv0ViilUgukJ2XXK3tV+JCQ9/SFIlaYDft9bYwSEHFhHAXBmcjOpkmUVnlIbmzR9el2YmcCnaX8cl4s3Xt8cJTb766vQtiP5uiObJqFIDiKCZiEGL3579WLYXWsWF7NSxl1eP31oEFIPfW5efP7ywZOL46Fs5mVkOtxsh3h8dLEgs5vXh/3+2C+bGEOMEVnREYyMTLQEyW7RLCGaOVJsS5baaeoETQh1wgQcxZSQCQPH6E6EiOwAWIoBupm6CwJBjd0TmalCbVIGcACtqg2Am5TipqZWu3NNT/juucgwlld3w52UqWQlAQ7ITCFgiPvt9XEYXn55C5A/+/DjZKWP1jbN7mZr7heXPcHl9YuXq7PNfDi6T4FQ55JicMCQ2LM4EBR1QsRgpHxfAuzgSFT3p7p8qoevRvROAWGguikAQK2drjsOnGqq6lvKHT0YALihOVcij4NLXX6nPQrAof7h7m4OCqBGhEDkRbwGKsypNqZxoK7BydzVsizWSzhfRtXD/nicrYjOJuUwsque9QkBUFKKwzhpzl1qSsG77XZ384JCQgTNswd3JFNKDcVUvEyvPv1ydbmZRz2/6ENI25tdUVuuzqZe7m62Ig2oxRgWmzWFSoBDIZaQJScm4RCZWCk6spqFFJiJw6mGPbV9CA1SYG6R2UQBQCwTYY9VT1fT4u45F3RUFb2HyoKimyH6SbFQy7nUXyIK7momInOeD8N8O8ir3f788YVKdjmOY147IDYy+WF3e3t9d3e3295coWNsW2efwS/6Fi3rpJvLBT/czK9uZ+9TjDjOPCsgCZz23Fqy6AaQgg/lXs4DhFozc8+qOFFswc2AEAkrGqGKPt8IPBVLUddQ7bIhJhMLbOCIzqinUB6cGkLc6swckJDJ3dxP6U/I4k3wSGAkxSqvWysdpVZjvrxbLPuGSebCfZeP493+UGLaDsei3i2aSfKcUwwQUpin2Q1cisl0HA5317vjzVVookFwtDwMDIgYUgwchsuH66+/eHW8G9Kyu7t+uVg0TBA83L64bmLCdbPfj4i0Xq6klBBCRa9KKYVDSqXMk7sTR0QKsSl5VgN3QaSQEseWQ6IQkJgJDAqioWMT2N0BQgiNkmNCyaOKgcs0j1KUkMxqUAZMirk5QBHJOZdSzMDURMzAci77YdyN9unrbYgY2M7PN/n6bhhmcDDH/e7qsL3eXu9yzi++3l5cbLrlgsCOdwei4Vvffg7Id7tDJFien+HhOO6OdLHBYZxVQwheFAkQgaqeHhgrI/IvdeVqf7gHBPyVlYGnXmCwala/j4Tfa4D1v6o2aIYe6ozQHQydMapaHVIBYY0ig7mpGqETmHtiAldUIyDDAK4iauqRyQiMWEXRNERcdt1tyVd3w2A6qo4yGVHTxCZwxPZ4nPtVKnMxcAqs5i5KBFevru+ub1NLqT8zLUiYy2xouej6/ML1ZrNe3F5t4yKlpvv1Jy+bpmkStm0yn9H0Yt2X4sNw5IBBPaYGEBGKMA6j91UWq9Y918r3UzJWcWvcUYu6OaLOOqYYql2SiBDJvLgbIDuomSORKiCQScZQnxAnP5OoqNmccylioiVnEVMHmfPucNzP8vPPr1/ebf/673y3WyxT03396vMMJcREId7dvtzd3u2223mYm8Xilx9/3vXvLVt8/PTp1csXr17tHjy9WK/PfBZCbMRyyXPfd5fntttNYMvI6KcINyFi08r2zr0+aE6yzem94+DmdVrhdIJX+H0rHrgiAgD5CWBaLy30DcQdEAIxudaXlDnpSa32GtQGQgBGdTuVdtL936+SEVTC0gmkQSkW8HmYnRnd2Evquy7S7fbWgRBx3XXE7iL7bWkS4Fnjpm4G4CFgMUkxlFxuXt1s1q05g6qaHQ47UH99e/PWt94OTbM+Wx3vDuU4rB8+aPpuv59fXM/Xd/t33nj0aB12u8EVQmrAKU22XCOk6KoGquCEHA1CNARCN0I3lYaYkU0KAmMK6s4EoJZtZsKYGqY452xqImNMDaK7oYm5WX2MVE6quaqoV/+6lHkqpdRikmIGqnIchtf7/Ccff/Hl9d1vf+/Zom+XmwdANObSBiPGPI/TcV+mqQk0igzHoYvd+7/46Ld//B11ffL82fWr1+szO7tYTjZ4traJEsOsYl2KcwdlnpC4Oqgc1L1pm+weqoUC0RHqlOq0FKq4jFRl42o+rxuU1ePp9NqqXbCn3+X3DPLghC7uAIxcp6XoNUJsdUAO7AgIxdARzEUF6zQ1cPXzE7KBKbHk4kBYzGPsUgxgedbdUbBptQxmxinMeeqa/uHjTuYpNk1l7CEIE8cm6P7IsX391VUL59yk4XBMbTNMx9Q0x904DnPqWhO9eHhxPM7jYXdxsZyzqIXdKH/0iy++82T1/MEqoA/jdBzlwdkZc2jUmzbMOVdDUefo5giE91BWEfOg7MAump2bhjicHk9MYC7qCMwhcqzdz6CluLuKmmo1uJi7qpZSxKyUqcy5FJsnESk5F1Ubi331ev8Xv/7qk9c3bz25vDxfG6jpuN0eYgh9S0i+296Ox30uWuYyzjLnnNhU8P1f/PqHP/nOenPGfPfii+v12aZb9bI9GPhmtbq52837/cKhgEuWmjpjZC0qpdRtpq6Ib0aYdYwOhH95bFldPXTq4LxXY6oGWMXlOk52dxFx5gAAjmAKGOqZB3XUxQDOfg9yd6we5dqwB2buZlSTFIG4FAdCK1hUs1rs+9RHnwrHeBh2I4WLR4+vjvvQpKaP4NCFsHMzDG1jaoHy3EZWp5CSqF5v948fLml3lHFGN3mVV5vlcJiPO+mWEJcL3I0tkKhQg6tFcsWnDy+mLAx4OOQ3nm7OY7PdHm9vb6XIar1Wb0Mbjjc76YU2XPIcY0P1RgMgYKQE6CqChGzm7iG1lFLT9GZapPSpExGRWedsouCVIWmqtXhQVVWLiZqozlPJOY9jKdlmKfM8H47TV9d3H3/+ImNYLbpnj9arRTsejjE2ngd1X627IgLDfjyOMvtwnIYhBwBET31sY/j0o89vXl795m/96ObFV5/92QfP3nwEjLzo5PqGzWHZ6/bAfYJjNqdCJ8uVuUK1+iGrVbRbHTLcj6L+KhuJCM1P9yDCOqY97UVACFiJOVWBIARSkUpfcnciPmmF8M1jzMgQ7DT5Oo0iiIC5/sMcMTQpxGBmFFgCUZcQvJRJXazk1WJBKvNwlwiaSETQdOk4l2GcmzY0XULCbtEs+3YepydPHnKk4yS7/QBmYAKmXoqWqczzr97/hEIvIpuHG3VFxKZNZ2eLxTK1kd58ePabv/H2t995ZNnA5OH5YtHyzXZ7sz3ebHf73THEJottt7txnPI8qmbVelEzECWpVgTT2VCpSQ3FiCnGbtGtzrjpUtubWslZZDIZrcxeipZqMEEAKipS8nAcd3fDfjfud8MwjPv98PXr3S8/+Oz65VfPn1482CzPGj5fduiF0cEkEOY5E2GMyQ1UfJpyVisirsKMy+WCMB53893d8E/+wT9i5ocXl69+9cn44rqUySKnVasxetOCoRGBAQFX6Dv6PfL7/r19Xxxc95TT0LieQXj6dRpU3O80rmoIhMjoFX9Yh6d+IkIgIRKZnox9pqeNjIlAARwNjYjtPk9EiIhkZmCmuQCAE5YiDQdRUxW3oETi5W6YR5E3Vt3t8QgqoQ3jmI354vF537LnOSAt2oRmzbJ78s6z22G3u53GaTwetohcxoHaYIXONsuf/eKrtFr85IdvF5s252f77S7n3C3SJdHN3QjmTd+cb85snqXIOExvvPkwXu2//voqzz2WVZm06VtmNBO0HgFAASk4qtRCJmBQcUK3STQBWhnMtT5Tzcx0nlwm1yyq5l6kqKmYmVvOeZryPI0vXt7sdmMIZGaH4/DV65vb7e7Zg8Wzh2+9Opa7Yb/qQheA0UUKoU7DaGqEKCKqpgpF3SkScduk1aoH89fXt44ku7J0/+W/+JP5u2+89dZTLAUPZRhnBRNkjjEVUSIKXP+lBaxBdHCjEwm5omdrXXl9fovVMhC8N+LAKTwOUBWH09vq9KtefyuVEkI9ApFqaZ4TkaqBIlZPlzueUKVQ327u4OYc7s1ntajUAzGQTagaiUsuNvN+Hg8adrM6p3nWZw/Pb8biRZquffz2u9P1S7bjrIRsyy4djuXZe28q5oZRRV682l+cn7kWEGEtE9myT+tF++d/9unTx+ebdXf25Ml4HI77Q3vBy0Xz7OnZ9uo47g/rrun6joiWm3WZx/fefWO1XH30weevx3Lx4MzRmXk+zlpcRJuUYhNTjOokAK7KSKwiZbJj1UNJRU+3TgDVIjmbqhOoadGiZjnnXPI8l/1h2B0Od8dRRA5DvrnbX19dr1r+6z95frbotvvJlIbD8e3nD5rEiIQBQ+Lb252KxMR5mmZRBG/aqMdxc7bWaRqP47CfhrkE5hCpSDlfNIcPP3txu3/+/XfTsjGX4faAYy4xSBfT7EAgEKIrpuQhcAheSRsGdWlYbaIHcj1Za74Zlbt77SCn03MM3E5Pd7PqPnJABDB0DHgSiw2htoAAIRmYioUYHE95j3rbJgR1AQN3YmZVx8jAwbJq9gjorkoEZsNx2irdOFhspqIvt/r8+abZWHf5qFsuD3c7SkjOOs3LdeMUnr77vc2TJx/+6R8H9dimm+3usC8pZBR3hLyfMXq7CH7If/qnH/z+7/xQfVg8ONtf377+4tXDN5/2bdiDNyGVIn3f9IuWiVU7AGy65nLT/vKDz7/44osHj54uFn2IvL29y9N8tly6GnYK7gVZiQIHy+qqXArUcIVb4IjApiauImJ+MlGo6DzNReZpznd3x5vt4e44TFPeH4brm9sg5cfffvL207PAMIsh8XDcLlJctzG13UnfFb27uVl3EVzAlABEStM0Tx6d314fmkV/PIzDmBdtZ2YiMwWOBq0h7obbn/1iebFsN6vFZr31Y9Yyq2VAD9FzDg4dxPE4NwgkjsRUTXAI9fCqb3Uivg8rnGQcM3eCE+m/ooPut5x7q6DXLwtAQIqmBsxYmxnrCKxeaxDNK7XUoGIxqwXRzABVlVKjTF7UTV0dOEyiBDiN5UbCjdly1b/47Ovnm1Xs19//nd+yGG5ff757eeiXUaa83PTOcP78B+/8zk9/9i/+h/l4QJAHCUKKu7v944fdOA0Nd8dxTF2Opg/XiUr56Fe/eud7byZuNg8f3r56sXt1vTy7ePTwLCRs29poQCLadH0IoUy5ifH3NouXL65//hefbm/gwdOni+XiOMxWdFEWS2tzlFhyCLEaQ2MIVIiYqsGlMDklV1DVcR6QyYFUNY/jlPNxnHe7/XY77I/Tdj/c3FyD5nefnn37zQebVe+IIialzGazlhSxCUBoOc/kOmwPZcwQ2zLNTd/GmFKKoWuWlKz4cTfOuTiymR2Ox7NlGwPPebIAhN7mHG73fhyHeN30fRvDJCJZyD1Jjga4gjCOqGo10QzVMAiEVIUfJPL7DGsVBmvHeD2P0PyePFm3Jf8mWl6V6eAqUGMfikCgoEgIZnUCRkhQ785moE4RkdmKeHEBVWRC9LmYEwBqbQWYzRCyyavdMLb9Q8Y3Hp+fLfjx8wehge3dq+vPvugXPfmI1MicN2+8dfH8+Qd/9s/L7ctoU98gxKTq19tt33gAPewHIBAvfWq4T3Mu41i+/PXXz996tnpwYTqPd4Plo4uarlKM4FJca883IaUYLBAGfv6cLi/PP/zwiw8++rTtlo+fPT5Kma6vx7FdLhcxcIgxpVQxlIDOzFRBi0hqozvVMQIRmsIseX84zGPeDePdMG3vptdXV5bz88dn33r+4GzVUfCQWveiBmAwzhlD7MgQQMuYx3m16Q67O1WfpxI5MqDOighN33Ztl7METo9mSWF/9fqWERFdcjbi2QzMKDqiuiKq0lQo0LJtRsKaAlOE2WRdSkQUpDr4LGa1WI8BtF5/HPDe7G5Wf4xIpxtSvZJAHW1/Ex+/j+V4MAMEx0C1zYiIoZg5gGEFXWmd7lG96iAzYgFyEEIIpCI2zaZBGUlMRZihOIR+GfLUp75kvbxc/ejH3zI/3Hz96e3V1WK9ePrW86uXv9adhMVqcX5+8/Jj273oFiGFB/vDVCY7b1J+kffH3AV0t0ktsPerhAkJ+O52/+jZ069f3r717mNPyWMGopKHzHHKebFaxZjANJfMjJyYIaTUSEmxt58sF99+781fvv/pRx98QLF58OChYZjzLhGmJnEMMTIzEzPWD6sjcAAncdeikqc8z/M8j6Xsj/N+nG520+3tlqg8f3Dx1vNn5+s+UGhT4ECILFp3Zx3HSUUWXUJzLopmMaZhvD7O0MQTKMOgmEpEVJkePFyrbpeLtg3deJzyPE7TGIklsRIWESEISsGcCTlSQLBpSuJKBE4SGbOhop6OiG/otV7JNwSnPZXwm0x6fXhDlTrvpwx+moDCaS5h93fnQFBNgk41gEPk6ggBqVqCnIkqk7TaXwAIAhucqqFE1A0UnThEsVKUKIiYI3ZtMyLNuXz38VMow3BAYwmp+95PfjeDXiTUr19ePHojduS6W67eOg7T7cvXYSjqpWv4wcPN3Xa8GzUhHvPcNwk5jZMMw3T5+El7/uAP/+G/ut7Lb//greP1br8bU7vslgt1MEQCghQTEQKqWeDAyNi07O4hpSb97k/7737vrQ8/+PKXv/rs1xmWy8X5xWbV901gYgeCQM3J5k+g4DU2XYqUYsfjdBzG28NhNwxg9uhi/Xvff3ZxvoqREa3WSsZAzKTiCih2qgpARGYuotkEyETs5macTbfHaRrP1psqXcq0P1w+OQtt+M7mzS6++uTDrx8/PtOyPNztYZqyyoQ0sk9EEYjA2RHUACCAqbshqxok4HxE03tmkte3M56qyuuPExAcyKu9y6EqO6cR6Gm4fi/8fPPUwm+Q2wxoRKJS+/kcagtxZbw7AHBgMPPTkcn3JRBmzjabq84QPCUoWV0IsRT3YtzQW08uv3p12z9a9ykctnuyBXd28fTx+vEjA4z7dPnkzadvvv36xZfLrt0ddiVfL9t+lzI65FnMfFLY7odlSjEwL7p9UTPbbJYPnz79Z//sj2+G8uG/+Pmqjb/9ox/+xZ/+4jjKcukxJCYqaE1qXIFTK6aAIA6BI7k5MYdEHEIIv/PT9fd/4+1XX918/OuvXrx8+fFRHKFtUpOaEKlJqZ7xQ56LahGZZiulxAirLj65WP/W958/fHjW9WkaxyxiZpFSCByYYkiqoqWAGXnMZZjB51xKC2ahFIkN5GkaRxvFhlF2h/lhkbTu2gVtt4fzh2eLvjPnb33/eUzxF3/20d3+GLkJq9BYVik58CTQkMbAblpH/whEri5qIZJqq8JwD1C/F2/qiWPg5l790V5pknSv8wAi1Grq+2tQHXsSQfUXg7sZOAY9xc3JwJH5PuB3j7s19+KOWLsiVU5Er3raCRow2mzYNC4FDDjwpMUYlhertmuOx4jkdzc3oW+CgVt+61tvMZmV8WyZNhcPDofdol+xsxvl/U2IFBYpmxz2WVNcPVwCM8ylX/RzwhTD+WLVn6//7c9+frsfuhZ/dPnoT/7kw93Rv/utN3c310V1nMaQQtOmypkSx6Zd1SY6DuRWVJWwxi8BRVeLxfLb7TvfepZFj8N8c7Pd3u4O+3ycJOcJAJhwteDYdH3TXp6tN5tutWzaNjm4qha1MudpHEKMMaRxGAtCOluLqANiCMF8nkopNo5q4FP2EktnbAVEbRRtmuDML7bD04ddc7Ho1i1S++uPvrx89LjpYp7zu+89Pjtb/OrPPn35+cvhWHaHcZ1IKcwqM0FCa4jsm0sIAZIbc1ALTlivxoR10bjXGwxgbce7965jdeuYO9eePPirio7fn1unwUN9nzsEDIzm6obERCizeLFTdTmAO5ip1oE+gLshMZCROboB0FQKNA1OMyKao0Xk0LbcjpF1OEQrKXY559i343T84Xd+o23bF19/3ERsuuXus09D6hardbdZxq5frM5ffPURXr9ul/MkVyR+PB6bDleXl6Fru2V7dn6Ri718/fr8bO2eXlzdfPRiP8/4xR9/tFq3bz99gHNmchOVKSNSansKETmcdmyOxA0GVZNEpIUEi3qZDZEhBrpom4cPNiqZkYEiIqlKnXghoptDQNNSZnNzIjYFdCfAZbcQc0Kax7zeLBGQQqw/TfFSHI6zDLMp2DTrGK2baRH77ZDF9HKzGA/5xfV4eI6raQpN7NedlMuf/+zDn/6N321iIyq96G/+9N3PNuGz97+UJpb9fjeMqW071UIQoSZzsLr1FFFAG5da9FJP3W8WAXmNCgLd+/7qyfWNHacWRH4z7frmkDqpz0iOp8rGQIQG7gW8dmOcxhYnE3QlczMFJHZz8pPvwxwqu9WBOCQvakDYxLjuvfgcGn291VzO1qvJMjLmnNebDRH98md/PB52dSDSdskdmnbZdH0BVIEiB1G+utkfhxwoRW5/8FvvLNZnV6+u0fTVq+0XX7263U7Xd+PtbhyyZsQUWtbyxRdfbxq6WC9DYrw3FQRiqjlnJkIMITmQuzKqieRiqWu8Q8yzyGzzqCBoASCoKZKiOQX8hhcB4C5AGFM0NS2lqGYX1SIOgEgievlgHSKHUEuNwMxLlnnK41wmlYbIDMjQ1IY8H445MuV5AsT9pF/eHp++sWTRjJpl1uL/9H/4N7/37/5wc9G1XT/sD2991y4uz65f3Fx/+qLcHgR0Mu+YcyWUOBCwImfgkI3cIZIr6P0w/BvfljtD9TTW9lEH8nskxomOXSeVp+QGIlUduLYXMSASgUFQq1ZsAhBEADTgGvZ3rBFjhBMFBh0JrdbbENUlHtt2dA1N4q6z4aDjTMy037cI1qeRrBhM6j7l8eurq9tt6rrKNw5N6NZLTCwhjGO2rGY4Dce722kcc7fokEOCTS7N9otX0zTKNB3uDuN+IsB11zaBi+N2GLfH+Wy1iobT7jiRQ9u0qyW4l3kaEb01DkzYAaGachPREBWBbH/9cvfy+uzZ0+X5Azi5FAAUnJRQ6i4C5mAaEBGhmGAgcHcwETVzVZ9LUXGkwOihTcSAgEDg6OpWqgfD/DgVVWsjFvCxSAdRs0p2NSAKRADIH3x6+/hy9d1lF6K1PUeKX3346h/8P//BH/zP/uaTbz1v+9Viubhb3yzO+0VLLz/4bLobJg2DAVHNyDkC5WomMXFwPJUO+X0SGAHgVHqOgIjiVpMM5g4EXr3xeI8iNcX6UKca2vomg3W6NgVTIAAHB2JVIAwqCmYMUB9WeD+2h5NnBwNQMTdEI4a2lyyoars95zkYHKIfFL5yvNmLEjgDN5TaFNqYNuvFxYP1+XmTEjITguTZrZSST7ptoLOLRTuON9u7cT8c99dTzjc3w3FSUBX1YZorzJ8JFk14vkzJ9NG6ueiS5xx5yYBzngMkVPDgojqOh6bB1K4AGdSY2Sl4wUdvvNu0vZm7KxFQqEROBmdXjGQA7K5GVPz0YWTAU7Goi6oBIIVQahc1eW2tq0KJumrt1xPdH45jUQcnZhWZVMA7MJjV1cDEASAmmor/m599fnm+ePy8k65z0bffe+NXf/SLP/xv//53/saP3/vd3+4Wm9C2y81xvVktzvqrL15Pr3Z+GOc8A9SOSlc0NCNXr2WJgQyxpjS+mZBXy3BdP6duPCY72UCRkL5JmFdw1v30/P4Iq/FysBADWLnXE2sjECIQihqEQA3bnOs/DBg5EAkqophYIkztHCJmxzwAyN7oi1G+2E63swlSiqFfUn++Pr9YN22zevSoazoO0RGQKDIpCEYqo+ec9zd3ZZZ5nM1z1/cM1kZqzxa3O9NV1zQyj9Ms0jUdKM6m2UCKz9PwoIudj93yQZtwOAzdw5YRs+R+sQxtCk1iQiABcCZCdDUlCiE2ymEdk4yjeEZFB2IgxFNQ0UCJABBOwU2OFCO6gVhNvrlXHK9i9fUyhxQdDZwUEDEySkHJuQyzD2qBXczmuSSkec7uLorIqFocQM2N8Hpf/vjPPvvbD9epSyApMb33G2/dffDpp//8X7/8+Qe/8Tf/xvm7TzAi9eH8+cPufLG/2h6+vtLbo4w6akYtqADi6AiEOUAE53sPxKlJG6th+IRHAjX0U2NO9er/FS9YPYO+8QWe1s3pf6AHB3BGl2pArHsXAjJHNiJ1965DV5qyz2oBRUBEAclSIqL5+o7UedG8hsXr5fr4tH9+1v/wfNU1NB+32+ubabYianPx29eWYkhp2B/mXEJKSBRCcoBpPl5f3xyPZb+biij4zeE4oIMVM3BHdJVcNItWIPJxnofiKcUU2IqkwLvt3fkbD7umKfOcQs8pOaKasVqoSSIyc0FnYoZaiArEkcED6mg5g2YI7G7uhQOZQi7T6QLpQKZowd3RXa2oi4FWIhYzAzgxMxEyIQZRq6bcIjZNPgpmC7lMAYCJc1akJDlbVibaDUMIXQzdlKfUdJ9+tf+Ln3/6O3/tx5k8dM3T77+L5uPLK98df/bf/D823373/Lvf2jx7gCFhmNOiXb3x8Lhs5sMwTisWpelAk5JZRG9M6qCB0PGbAwvAzVRPf6XiZKrB/UR+vdeLT6Gtk1vZq5PQ/orAEwhRADAwuCNhoCg5e60sh1qxRtC0eL6s848gqDlTar3rLLbLN1tYLmC9fvfBo3fbZs7TPIzDmG9ubrZ3R5vKPIxj1sPBuj5uVrFfLdH8sB9324MB74ZJ3Ltlu1kvl32IhHd3oxTrU5qmPBfJ6tWCOmRRRyBDpMHCYOZjWbdNTzTPZrNIzmmz6ro2MAXipmtiSoyEtcG6TCG2CEgh1KszICEyJ8cM3kaNQfJk2dScEIki4X2xZX26qhDGolIcEGM98089m0DEFEOggOqI7pq9qJUi0yyTWnYYZ1l1CyrZjLbH2UEnMaTGBR09W+66FNRk9F++//rNd7ZP3nxMIXbry4ffo9daIAUuM3z8+YuPPn25XNByIW1SBGICcBAFU8vm2Yu6K3SkZEaAbQhwQlHC/dK5T1fd64TV8FVXRCVl1+P4/pjD++To6b6NiGYQKn7e0bCqPX7qw63fGlOhEBFBSlYgBaLFAvr+yEnahYZ4LGV8/SpOg7z44ubV7X573A/TZGiuD9axWzTORBFjOJ6t03pJpsPtzf4w5Dxq6lbTNHHT3dwct1d3XdMM89x1Daq30R2p6xeHKe8m12Jnl8thLsNQ+iYe5ylyBEcv0q5aQxnGqWYuU5sCEhKpeQQAJEciYvcK7BQVQqYTAI0cgDHEUpRCDO6qTog55yxafyzgRpxMT6EGEXFz9dpjQkzIXAt7sXaHmYqbqczzPI5Tns2mWUVkEHH3GH0afBjN0ZRJS2lizCKOEDGkFNqwOByHX/3ss6dvvRVCzHnePHq03qy+/Ld/YtMYycMwhnHMu+NQdFBBCiHFFCMiBPSg6mqE2EaIXEuEHE6zKawuwYqzqNsL3I9AEf9SOayQWndDJFNDPX3haeXUemqg2v2JBFCPeRdFRyByMTqFrETdzTSGABxgLgPRADqJ343TfholRTwOu6v93dV2mP36mNHlhz94tly2t0PJGHken5wvmtTMx3J1tTV1yKBmt9sbMHcTy/nsfLGfZnVvAoYUUh/0dreMEcSOUcW84bg9Hg04l8LkpSi6Q0BRjS0tl83ZxXqx7EyEu46JtYgHJXAkBA4OgK7EDKaOCkj3Qhlg4ACpNr1iQyKZEUM1MBXBCuxXM0dzFZWqtCNB5FjPPqd6S6rffVRRFS2iucgwqRMzemIcpqkJIZcxMs/mWZ1cQ6BUMUqu5nC2WcmcP//11zdf3b73W99PIeYyx0X/9u//3tf9n5dffypXDmNpiS4SLyRIdi8FXYko0ml7jEQtc8NkFZiEJ7eouwPaXwo2CH4CUVTAYHWI+uk+faqbQaP7V/29W7nefQJVmEXdyFRJ0RAMEAKbGzgJkiNhiuIu4LP7fi7Icbe/uy5wlbVZtWV7t7s7qNq2+LHkf+dHzxPqJ5/dGrcP1njWsozz65v94TCGlBysIOWC6mRW5HB4dLY2sBfX89kqBlQ0i8DrwOM4HlUjxRkVXPo2zIOkGCBWTwgig7pHDm1MJyFCTaJyIuYItQDWAUUA2WqPJSCCUAik6GaEmKdRRJjrfDcYagjJEc2UOJoW1YxIXhzAmFnNwDzEwDGZI5iKF6R0SmU7uKEoquJUbBCxEKrWsZ+VLAjiUUSB3N1NTDFwQAcp3vbtOGVmKPv5F//ij7/32z8KTZeng5jMOZ99+105uzx++un04iUepmYao7skshppMAdzcUN0Iq+QS6wF9AjAcP9qAmZEpHtZrho+Qc2AqHaFEmF9TbmdauvvNWWv+xYRAWAwN3f1CmJlVyAwrHEldQVVXjZSioNr6tRV90fqe23TF1fDTVFKiaZi+12jtjNj17/54zdR5xc345Rx2UkzBbPEDV12y/OzZTEfx/k4ZwiQFB1MQAPKi22JTbvuycFUDL0x9FmdOTYYJtd5mhBV3EfRPsbDNKcAjMBIIrLo+xgjMDIQuJdcQiJwU5cAAauVwNANkJGIqssfzJAwNk0I0V0Ms4simougGjvWcaYSZnZgI4uqMwNUwUbrmxQdjRyVgM1qjZGZaM4yZikGJiXPUgxNykicQjPOue9aipjnejVwJgjMqjrPUwCiEL785LNP/vgvfvC3frp5+Gh3cwM2u0OJDE8fdino1Y3eMg1DEK2BXSc3cFBEoIDIWDvJDSq/2WoexE+YydP5RQSoFX9TN5w6LXesk/Vvpp71DV+VHaheDIPgjGBoTmZKHiWoRoCxuCiaAUdXUXdUNzlWlIpQfP+L159fze16seCg++uzNm4lz+P83psXK9YPX+wKpvPAj1fh7Mm5GIzDsNuPw1iOQ55Fc8lISdUmwGXfA/JumEIEzzBmapinYRxGGSadTTCYZYGIgaOUw352XkBDhkSApKLdunECShxiCsQIEFKsRQWB0FzBKeC9OmaGXMGsiEouhuxIJxoIEBIHRrDs6GZqZnXYq8SMgdAYzZik9ugykSqBGYDBaW6MopKlTHMZZ6mX7oCMZuYw5BI4BKQUmNA9RBUAl6bptNg0ze4eY5qIGuU////843d+/H2PTIRout/etdTdjYfQBjrb+H7gNvk81/PEDYorGwJi4BMe535foWrBOfmOvT6lqx5TM79/eU+uO4oZWP2K+xBF3WzqTNwM0Sk4IhCBhzpBxWfP1n/wn7lONtzYYWfjoIddssn2OxxGyIOPJVO4PpTN+eV6E+Xu9uGyG6fsat9/49HDi/aTz6+Go22W8Pz54uLy7OrF1fZ2jyFd7efbqUyzz6opBQU7O1s/W4WE8NWLOwWPmssRskMhn0YchcdZgcAAZlcvEBUWkcdJx1kaBgeY1LrEzx49uLjcCBgGdsCQIiAyobndX/3NXCrbDoDMPDAT1dPc3LXy9uo3SB0MGENNIVY8LIbAag6gxAERHZ2YK6+ICGrEW9UdsG47c5ZhzNNUiJDRU8RlE7NwUTMtMfI4T6tl57MiQOBkxY6HMQQmoiziajPQF1dXf/Tf/X9//+/+z2+vbiKX1Mb97S4RH7Z7cgybBUwMACEXIncEKYAIzMiI4OpWYw5kJ1JUjV8R3M+06j5Sn5rfTCrsFBuupfffSImnHQgRayYCUQMRFiNAJHQtmfszfO8/oG4B+Vg3enYHm02yTft53PsXH3zy3/+3BixBJPvi1DwAfRc3LWxfbW/201m/fPfN9fnl+usvXk+H+cH52Ve3+2OBQWG96DYIyrhc9s8ebBDGacwPzvtHEaAYAYnKnPNUvBRBomkuUkuNtXCMXQBPKKb1c+OK4LZZpn7RVjUUKISYqFoIrKJcnQihgsO9ToZNNKMRM2Gd4ZmAs6M7KhOgCgIgRUrRg9fVgKAOFgKYJnc0RGJSyfW7WytnwCsITkqROZsCxIAiHhgLSFEDYEdCr5Q1QMQQGc1NHIHRDNDEA4aUCTGGf/OHf3L53W8/efvxzdev0AsgjcNQjmNEyqoKkDZrPwwJZhtnUI8UAiGh3o/D8X4Ah6q1zZzqSBQBGEFP08973c8Rmepri6T+3pOOfH9BPo3PwTCgAXMQr7uYeloSuM4ZTnU8YMhunWADHKVd63J06ijE8wcPeDiuo6ParhyXTQDVq+3xcJQnF/HRw9Xdza6MZblaipVsfjv7qmnXUSk2m0eLN589dFT3vszzpUwyy5RNik9TdtN5zowoec7ZwqLTnMFJxBg8BSZ3E4kMGLAhICIC6tqW6siF6zEeANVdCblOX1QVCB2NuNquiJirluoAWq1xQLV4mTm6W92AqjgPIZ4AOUhIEd0pEFKwE/8NkEDdRKXkynjRQBg5zJgDsxQX1RiCqCoTO2t2IjZT0FoapwbQppbWFxBSjDGmyIx/8und7z15Tt2D+XBnOmlooVdVC03H0yQyN5tOEhUiHKegmRwInJwUwFy8Qkb9lLO630dqVJhc780UpzOrps7rSjkRvND93mpzYnshECAENzRTcAMiCojrM2UCL8CgYoSsViRnc0PX4bj/4rMP0mbD3au+CeVuCuj727vouGji9u4ATptlt+opZzErMRGhISWR4Y1Hiyfr8OT5g9WDTbteaLEioibTnuZjmGU+lvHm+nA8jAAm6sNcgMJ6nYZSTFUdA1rHoaiGwGJIjAzuYCqF0chVNLehqz40YgF3R0YMcA8SqFwiVYscHUBM2RGJKICYAGDFu9fsACFa1TkAHJmIEYNT5RTWs7DUWFO9BBTJ6q5q0yyH41zMYuRAHAOlGBkDk1fCn4M4wDiWrmuLSs2HqxsDOWCMXbM5S/0CENThYMt/88vX335z07QLnfbQm/MwDOPy/HFcXnRdHwgiGKp5GTHvQx5hPvhwlP1BhxHzoPNoIlAEKlDRAQzA3FRAqz+C7sfqdH8RrlRKcHTQ2p93GqfCyTxmwbCC5gzdkTEszgkRKiPFUaSow7y/2d1e53E4Xn09XX0xDOPqbMMG05g1uIM3TWIzNGgC7SdZbVZ5yhQSxULkBvLsrcu3vvtGw+XZt75/GIfjLIvlwqzsD4d5by9v7w778bAbpmkC5lkxm7eb9TTLMPndJOjkIHOWLjWmWtQjB0LxYsu+R3MHjxwEvGkSIhHX56WrOxUJiStw0V1diGMAV1TCWo5+mtpUIdGIGYHIaneuA7prRTyAgxOFyt50yeDgjvOcmQM4ooOZz8Vz0VnEHWLkEChaDJz7Nk53k7o3TQBzKdK3SXI+hb2ZwBUcKMQQabFar88v5mmwu+vhcMxzQza9+WgdnUfF1dnb2swZPWfRAMuLJ7zYUNM1bRtjoBC5Jng1m8wgs+fJ58HnI85HnQ46HH3Y27CT486Gg4yDzgWmSecJSnGtw01TBb93ZrgDOgOgVyUUQMwCkmF1DipIVo69igMoErupgxL49uWXbOI5726ueTq00WnVbe/2FCIlZUHk2iCBy0WjSy5inqe4aNumkWJq+cmzx0/feSAZsO/J8Gy1ur3dXb94/frrF+N+0FLIJDClph3GwrGJsdsejtMkRVAcXCWSLZu46sI2z1m8AY0Y+pQ2feuiucg8T/3ZhpkYQ9UwAjMzm2iep9S0QE6n7djMrXqu65ICM2ZW0VqOS0yOZgjVNkdgZooASAxO6uJoxOTGoqJaOLCCahX8HWcxc49NjCkGDjDlNoVFl+52AIQMWEyrM9MdzAo5NilmLmY6i4ScCTGm5Ieb/Qd/6pYzhi8+bLar7t1334ltePnlJ7Fbp65dnl9O119Ot6/S8sHm0VPaXFjbx9ap6YmToSAgOp98IGCoXte4uZgIiIJOWmbL2aaj5wHGvYw7mwcZ9nq4s2Gw8ejTaNPg45GmWQtVNhlYrXA3QGcDN2PoVsQsOZ/qqM1VtW3b21dfjuM8zRn3wzJGRVus+2kYRpG278dJFTCm6AE3/TKbFfW2vlqcVWHc51y8aR8Ui1nl5UefbV+/KPMApZAXtdpLh4dZC8T9Ie+nQojgpCbstlrGZYDzJhwyAPIynbgezNa1MTXJzWKMqUkhRC2GiCGEwOxmzKF2JnIIeAIWu6kwkXuFIjq4o9ajCQIHrxBocMDgNdLoTgSECEbIXDQDChHGwIvFqpg6nqrRppyP41TM2jbFWP/FQsilb1IK5EDVGsbMOecmRiD2IqjW06lGQ0qZp4mJk0N/HJY4K7CO+/nWP/7qy6dvvRHaNNmnjDjGGMAIIcc2p7ZbbZr1JvRdXF+k9XloVrFbQtNTaiE2UIsQKAEwYiKOjm5xCY1HUMHq+YJgFYhjpo5eXCcTMc2QRxsPNu9tGsphp+MuWCkeWiJwdegAunVtlwDVUmZTMzduF/1iWQ7XZf/q+Prq8ttPEKLe3uZI44SkDCYFoV/2t/tDt6bFenXYG8QY0YoLYhj2h88+/GLziC7T4sUXvx5ut2Rz19JccJ/t1c0wTDYp3h0ka55yJkq1THvRhE3XdgEWEcbZrneHgKxmEaFJ3DcRwfpVS8RFvGRBzF3sKCQ/vUHZwYHcRMBSHQMyM7hLmQEJgNEhm6A5uplpVV4JyOuSqRgQDNXyVjuA0JwdzexUvOJQy1XmosM4i2riwMiVQhRDTEkW5uvl4vYwAGIwB1WAqLO0bVNMQXMAAEIPbGqH7fa429Hu2ARuMRKxmAiauR0+/Xx5eR6WPSHqkMEVywwOjDCWYgCcgAPHJhIiBKKmhabFrqW2x7bFdknNkruVNz10S0gdNgtKSwgRYuLYAkfHAEjM7pggtNwgowFYxSKCW3Iw14AUAA1SwuMMgbntTaSUzIQpJAWZ5oljiovNoqcl7EuIakrhxF0Ux2PJieDumAeF9WJh8yGm9Rvff/fw9UsCpAQ+EwNfffLy8o3v3t1cy3DsF22zfPDl5y+/enm428tYUkbYD+MspiLLfjGPM6OcbxZ9pGAlhrA9TC+2A1AiACJI7G0AVC1TOT/bcMBxnJqUsNZJcDjROUEQsXZPWRFkdCExY+IQmMjc1AHNBAEZgJmrQl9fqO5mpoEDI6nVSJO4K9eo0X0iDh3Nirub2jwXVSfiiscKgdSsCYEaPF+vDsMIAF2bCEHFyMBKWXUt5IkAlDnHJmOYx/H29ct2e91raYMvyInZ6MQAsLs9jTmcrwqjmTccOWd3IyRAQHEWIynADJ7Bjw7oROYnUdCrNIoOgZUChASRPbbYtpgW0HbYL6DtuVtxu8RmQd2C2s5Th6FHjkABKBCGoOagmYh9nH29pNSbG6XgDoYEzDGlwFimw83tkCIu43C88/5iaWq73YGcIBcucjtMGfN33nqEOs7DeNE/a7/1zosPf9Utu1L2xk5CV9dXqYWHz55O++GTj7467GfgprhcbXd3o5eszP7gYgUu7HSxXvdMZDbP9GI77OeCKYEBKjaJ2kRQXdvkGNPFk8v5eJRpXsSWUhPbrhJCXA2JzMR9RAYixEDAER1VRE0q56E+ocxRayIfUL8hRaO5qwARMjiBWe09dSKn2igA7iCaK5h9ngoiMTMiNk3LjKqmIbDDqms3i36a58q1EIUAgKqQ9axrS5FBPbTLdnO+3+9vb6+7452pEtiSIXEkIkIIzAAoqnp316x6SQwE7BgU2OBUG1QNNI5EjHV8VWnXjnWo5xV0UotsbUQAgL1XMCm4YcXfODACkzFDZIidc/LUYNtC23PfBURTdxITIkyNpx4DB4imZlbm8QimkgsYA4SXX12nMuXjbre9GqZiSGXWRuB6mIxos9m83h/fef4wBTzebDfPn0NKhLp6sJrHYgBtSs/ffPL+n3/wF3/2cRnHxw/O5uPdsD1OxQwJAlw+2HQERLzcdA2Cqu4nudqOk2oKsWRloqalhslLSW0MTGaGHMSsabssaqqRgqshNcxklpGwFCOMIUbTeuIIcuLYu8k07EAVmFUd3EUFnIiCmzqYAxlCACVwC+iG4OjAVZYlZnNDcgIPROA4DVPOGZFXi5YihxilSIxBRLJD16XNamlic5mLnsK2ATGa6zRYbC765snv//5NVv34Qyg65awKDtJmd4RFTAkpEjIDpSCGOg7ijfYNYoMiMQu5ESMiIVVvBRqR1znFqaHG/C+r0xDhxBl0A6dQReUq/WBdW0UJwF3U5pPG4Q4ASh4QPDGpiLvTcoMh5eNOciYiyZPXTweBIu5nu745rHy+vFjud9thLtMEZSxjKZ4CAs0y/fh3f/Ct9954+fmvdzevZ/BROPXN5iwet9tUaH/96h9/8vXHv/piPI7LltDlyYOliR2u87yf33r2KAXtG171TTQYh+FuLJ9f7x1C14RcRA0CnVIdiNA0oSqgu5u7h4/PtRiFZrk+oxgJQhkGYmy6dp4zI3PTItXbjAMIYa1z5abpDaC4ujtWgDlYbWOshBBTUgAgJcOaJWAmDLHCr2rlKKmjmeSy3x/nomfny9REJDKVNrG5qZAIphSWfTvPeb7LVKsBESJYQo/gl4wPLvrV02ep+LDf3Xz19TAMHdJOKQAAGpEn9ghIhClw4+hG4qZzdgiCFAKROQESIRGyVTbFyXp1smwhfWOc+GZudfp7fh+auG+cObWsVeWCT63Tfu8qDEYJEYXJU3tETrtJFxEQTVRVht1t3t3l/W057toXv/r2WZJJ8ziS23LR397d1FsjGG/WferCb/61359p6o/74W7n06HfLItK6FYXbdzvp+P2+NEvXx5ma9sYW2r7Lk/HyHHOw9n5erPihw+Wl+dnMsz7u+nVy7tPvr7ru75PNA45CzABoTMF0dIygwNyBIOb1zff+u7z1PbHWcacu9AAYGyaYRyc1Y1SSkBsVoCUgaqxhhjMBKH2OINqnWjWczMwVcsKOoKAATA6IREnpkqUBmBEQxBTwWKiw/6wvTukpumXXb9oJRsiOrhmaCkJ+Vjmro3LRZrGOE8zA7SE5wQPUghoQaVbrR69+Xwx43G38ykfv0CZIVPam7G4TzMlBkzOTObRITI0HMTVLWeASMjAcJ+LsRqmU68TTjjddE4L5IQTPLkAK2vyr0ysqgsZT3/tZCbxe1uqm4MHdIAmMZMeBwTCRDAP0/XL4cWnh5efzTevfNpb3iN6Y5YayAjHqyPFuBvmwzCdrdfqsxFw1/61P/hpbNgkWOTRsZ2la/XmKJuLN9zuOI5Eu3V//dXVXfNg1a034K6CL19t+3751rtP3nq6vDxb5VJe3B4++Pz1py9vLs/P3Hx7GEALc0C1NiCia+AYGYlHdRBRyejRARfLZR6mJvXiBdGl5BBi0y7NhE6HQz3g0P2b+iZ0lOrhrh9QpuCGhhY4+Ok7h0QBiUMdENVOxApXM9ea5GOYx3nMeXO5aNqEITKqDrMThhBMIUYWIyZedn1eytEIvSSABrRHIHcO1C66GLpl0775zrvzONz8GQ6mRmECOKghQpgNgc2BDJiRQkCEgAxobnbiy5IjAhggnUo/0BwB7D42c/p/DQDgeqKYOmId9FbvKZKj/yVZxwC46mHu5GAOBgBBHQbxWbHwRg/Ty//b/wllzOOU2oANkRgihk0/FZF5Pu4PZcqhCfshD9mnYsecQXzVx8Wm+d6Pf2A+316/NEzPf/zTq19/wCSrVZxme+ut78zTtl1c/+A35g8+3/76q9vVajWn+TBO3MTvvvfmg4v+8aOzgPj6q+t/+xdfvLzeffedN4Zx/vmvv1zGtIrsRIE4pVDEADy26TgXcQe1/XG8fn318OkTDskdrJTU9mU+hMAcUHUCR1ENMXh1taDFEMzBTB0UCIkCkCsU1ezAgOSQHIIjAjqa1aVKXMcRhAjE1XqHAZA1m+iYixkEZkZsQjSkKUgltAMZMTRNysX6rim5IfNxUJsF2dwsMJuJY1yuNrP5+cWDxw+fvCLgABbAis3IJJbYuYg5sAM1gQ0iYy0eICZEAlVCxOqOOG0XUFdKNX8aVWBvLYfxk2/LAes27A41YnxvgXf3ajb1apLD6lhFAAhf95fYJGNyokDY6ggppj4AITVtWvYOcNzduU6lzKXIMctxnI+TXO9nJ5yKBmBi+O3f/cnqYnM8XA/T3PXL5eby7ubV7ubFk2fL25uXbzx/3p9dGNCzZ9snF8tPf/lqHOcpyNX18eGTp8+fXTx7cvH/Z+o/ni1bsvRObAl333sfdXXop9/LSlWFylJdVUChG40GBs02tjUHTeOMZuSQ/Dc4phmntKbR2NakkWZUIEBCNBpoiEJ1VWWJzErxXuZToSOuOmoL9yU48HNf4Q7CLMIizr1xjm/35Wt93+8rZXr6y2f/+t99ersbf+W9J7v97pfPbhM3iYwRRbVpOAQuYgFJHXeTzrs0TYNM8ObpqzaF0LTkOE7jDBiyAKJ7JnLmaGamZABIRBx0yiGmamNljxxIfAQEwAr3dwB1IsM6XGUHRGYk5hCZI4AjqRsxRTJ1A1Xt92MIMYbIzFxNWURaCoCDa0wMhR0MELommQhApzay+4wgOQ4EFFtMqUEuSqfL+UXDu4k2ZupQYRaDIakhaHAHrvGctdEJBxo4HiqSb44kRDQwhGoJOLhjqmT5sAE5ILKD3GVZ343K7WDgdHd3RaxDGSNkQ3f3AN1MHdCBGLWJ5EnFwqw5efgwLWZDv95evtVpN+32Uz/kqeQx5yzg0Hbdfj9m1aaJsWnf/fhDN9lstxhT5JD79aOHFzckqWkeXixevnr+3V/9bkDS8t7v/n7+058+W1/fnIV2cXL66L133n/vUdPQj/7i6b/9k89utsPH793vx/GLlzdK1CG2gZhITRrmENnHHFJY70qvmFSQeSi5DPn1s9fHJ3MwKoCb220kms0WyAe4M/NhtwAOxIxEOU8h3MXgGoSUgkkpZgbIrl7QGAnZkUMMjMiExBwDIaCzIyO5SHFXNdFhKOMEVLM6wFyQkSNxIVWLzE5c8hgYwalrmlrB9gC7wnvPnWk095hUESMdHR9NXXOUIMYAU+lZFZyRwUHdsntxEkU1UlEkIDBGxAoPper3uKtj3MjciQ4BDlUbaO568Ht8o9KpBuIqEHWEqiupJ/vdJOtgKq8+tIAMseY0uZV+MrXH3/72o48/ULGry+tx04+7QQy8aaPhnNXDVG53YymTCBCEEJjh4ZOHF/fPQuQYmtS0WjKpzmdzuTh79dXr3/vuDz7//Bf9brj/4J2c/dd/g7//hz+/er3dTPr+Bw/f/9bjtoGf/fhn/8Mf/zxn/+Ddi6L65as3hhwRK8NV0cC5abBoAWJzUMDqLM3i/Si7/a6ZN9NQtJQQ4u76FgNtOYQQOHJsG64cR3BkrtGbFAOHEGJM7TLEJsQQQgpB8iRmECKqFmaseHsgNqAUZ8RclXa1lXwITjfNOata5FAtc1pzfopQ5dETm/oh5sctMh9WD9AY4HkGL7ICxa5RdSbjxMs23V/OboeBXGPhydEAEQzc1GkyT+pZLZADMgFEJj+EEGLN+oNDFLD6nbi41vV2uCYQmek3klEkOOTDYr2WfSPwqpmxfgixuQO2AwRDV51KmfIo5+89efzJRzRbvHz+4vb1G8lWxtEUnNLpw9Prl6/AxsZhvvQ3m0t3jpxMgBp496PH3aIpRXb7IaWuuPT73cWjB2+uv855+9XXN7/9e3/ri8+/ehjSYtGYLP+L//zv/Nf/p38QFkcffPL+URdfP3v+5ReXNzfTe4/OYsSffP5KPZA7ghM7UVTw5SLNuvTyaj+bLUQmQ3RDRzJUMY9NGvb75XwGwNOYEbHrWlEDd8t5zFNsGmAirCwBImZHp8DAHFPfNItuNg+1Gc2kYqpOwUrJFNjMiliM0dzUDhQi1QIuh91ctIg4eqKI7iVP6KGiwcwnEUHHahAdx+zuKUYAMGsAgAtOxF9ivqd+b3nswZnR3GwaZmCQODk3zIPqWETM0FRBFZOIlWhKFKrMoSiKEaJXawsz/HswpdpKRkeng2jCvQqyABkPMJ27qPMqM7nT9dwdgNVWcfeaRhgoRFcAlQefPHn0ycfXt5t8vdZSOIbYRSG1XnXM16/fTCLrodfit/2E3CAqGpn6PsvsaB5D7DebmiU+jXZ8evL6618m0wcPTn76o7/87T/4/bN7/c1mP+uWw5A//vY7v/5b30nN4v0Pnrx98fXby92z15t3Hx6dnrY/+eVzIOY6VDaYtxRDZLOjVeyHEmK7L5mIhmlgYy+6nM/67Y45tk3Uoi7GdWQdIqLinf0IABgRAbSIoSMxIrICkg9jmcK03+3my2VsOkAyn9wIFBAVIRsCRwRXteLuDIAIqpOpkBOquhogpxAAwdTyMLgGJlZ1KaJqbuWQ/aflIMUjamNUFXNGhwz0dvCffPrFH/zWEGZLJLJp38iQEiVONEwRoJkdNecPuAlQMo4Tl6n58MnxD34LTBvJmPcw9T6OPuxoHDWPOI1aY7bNXcFEDFHVCAjMXMEBHAkdAhxA2Y7k5ubVZG5mgsQ1s7SKUA+828OMhVFjvHj45PzRw2EcVLPKOA3bcegxtPvdsL1am0IWFcNiJKDYxhnGVQyXN7t9luVyNp81bjKVcnxy1O/HkHh9vdvfXN1/dL7dDdK//W//8T//T/7+f/T66dO4ajC2q3b+ne98PF+d9v319e36868uly0+fnD682evd4PvR1HHrL7q2jYhmLeRyaGZd+ME/W7XhKiqs8irxYzJJ9Ru0XYpdrMEiN18BogqThZqEwIRa61ZCWWB2REIydWhiAcoqjmXaRpmy2VMM3Q2LSqOATDnVBpqjACLaKAQAMDlMOCC6iZBQlzOOzEFVDDPvVRxuJoVUTEnZquGLncBYSIiDIQC6IQUuO/aZz/7+T/43/5v/oP/7H/63d/7O5glevGEc43ho++vHn5Ax/fj2YPszgiQJRJyN7PFaTOfLe7dB3QCBRUTA5tARiiD5d7H3qbept76rY977Tc6DDLsdN/DNNg0WBktixeBSVzFraoj3WulXDcc5kNC34HL5O4eKPHpg3Nu4m6/68f9brcZ+z2ogqNMKmOxItNUhqnst2NfdCie3dv50WbaA/iD+6fLeZrN0n6/3fc9OEzjsFws/uU/+eN33105pxBRx+nf/v/+xW//zd9bD7fqjaqm1ckHH390c/P25u3r/e0+kH/w7oM/++zFizc9OgmEUSYAXC5g1sR+ny9OFzmPlJrbq1t0n8YRgbqWl8sZlomOVjKJNWl1ca6mDJS6ruRSaTGmrgbs6hXkwaFWj0QOTIAU3LOKuU+7ofRDaNpufuSMYmLinmW9e3v/yTvZjYghJoCKbkQgBgat8Zfuy3mbS3EAUc0iORcVK4JiLv+eAVnV6o0oBnZVdGdEYpgDD10cbp79t/+H/93P/uRff3seZkjt7FR+8Af86HsptKJaptFK9oAxpiGrlX3Ksr9BEzt99AiYEQIFNl/W3Ta4mxsRoBt5tXYUNzER86JlwjL6NJj0NtX1tIGhl37nUy/j3vYb22/yy2vr88GCDoB3X+HBx+8q2r7fTONgaikxQldDuof1GDgRIbkHp+WsnbnuC0zCadE9eOfdnMe3b64Wi5DHdb/fuNg4TZP018/2v/jl0x/8xt9Jafbsq69kHMbt9h/+P//R//h/8rfefPUc0ctU7t2/ePr0C3fabYZ5wsvN8OzVuolNdrOsTBCIPnh8cXt5fXrSzVoOafnyZhim6f750c2bmzYGQggE8+PVuH9tKov5PM5a7cfZchVColRQHd1EVd1MVEqpDuIQo7mCK6C5o4qkEETcmcdxyFPWaaIUICYDJKT50WKcBjRhCl4mZ2Lkys+zgm7uKk0TYd4UZXUDw5ynPFE/FLFCNaTaaiaLOYCKmRnX+FbXQ9/RPBFK23GB5z/640u30yacP363iRf49lKy1njO5WK1mM3ylFfLU2cv0zT0++2bV052790PBTK6cW0pa3WIgdih1MH6xGAECugNhznOsK5qcg/mNaXP1AAUNYupT8P1P/g/Tn/yLy22eMgJPsTEhpx4utmMu8EQ3cgFgjM3Tcly/94JEJ/cf0DMRSSPw/WbSwyzfhrvv3P+9s1rInv/o8foJmM/Dbthn4dpHIfdL3/6xfnpUdumF8+e3jx7xgjF9cd/8sP/+O/9HiEN40YV7z3+MKb45aeX+37qlkf/7kc/TkQEtt/3zMQQH18sl7P5jm/fe7C63g6D8PXtbjlL5AXdZpGOZ13p++04mMPJvYvYziTrYnXSzVYihRSbLknOoUEF8UMAJ6oZEEYgQlMXNyiY0RSimXuIUVVNVfeFkxlhAQMJJoVjMA4CKBxjQIoBvXFntaymxNy0TbToCIisNpNcmv0Yw26/n1hwUilFoGaDEt9ZFOpc0pkPGEhyQrLURnO4VH/105/yL78O3SLOlwrsHIHCb//u783mq12/Ozk/qSN6Blq/eFWGfHSU9OpryoLHF+niHWiPCCUg+R3pDOCbMJo753m1agEoGLmBMwI6klMCRO7msDzVmkhzh1qqjeXw7MefnZwfaXZXa+bd/PQ8zZaMjIxmeb/fY2j2VWgoGQPPj5rj1XHsuo8fXOxvb59//nK/66f9yfb2qu9tt9+HwLc3A8cEFCSXe4/v//KnXwWkIPrs+fXxDErux0FOH5pDuLnZnp6tfvxXX6lamzgDEoX5jGXyD96/T4Eena4opO00fPXsVTG9OF1tb2/amE6OZl2TEug4jTGQqDqHZr5YLE6IGg4ClJkTxNbcgqmTQkR3jVWjbUAISF6KcqdexmkYEzEg5mnK4xRCcCkYA6LlcdJRkJmYU2Jj8tSgMgVDCqpFJBOzOxMQMRsAKoYDNAUIYBolWZtZxlIACYncvEgBABUtWVydiCrYBYnZ0UwxUXAOJJhvQW5nMWWD3TD9u3/66j/7n/0vsneq3nZzomCi7Pj8s09vUyk//1fzq+fQxfv/o/9leve39/0anEITQ+oqkgYR3A/iknr5di06bF2Lp5biopbI6uaGBhCPjiE2aBUliN+MTsO9dz44u3eWpxIx9btLdeUQU9MwkdsCcFl0ctnK0Jdxe3KxxJQuHj9JXbff3H7x/Pm4HWyScRyu3r5F7IbbW6N2N033Hz1097Ozi5tXb5o2Prq3GmD+/Mtn7cen4zgg6npzvdvt57P5uM/X17cp4qS+2Y6AxMT37x2dn6426+tHj05/9OmLr16ud1O+f34MJoi+WkYp48WT+6sUP/vs86PFwqZxcXK6Oj5DZ3Bj4tR2zIEBzcFKMdcanwzuQHAwtZmH4GIyKTSzIKJITFwb+YrmLhqIrBoDTMTVkFvjrEoxxS64WZkyqBqqH5xVWBWGGDw2PvMuUNhtexwzIzcBR1EIDM6xRsikKMnzdNBquWd3dCIOVBlvgNC2qYncNMzMDsuhH376b//x9//gPx/HnFIT21gGyCUvjldjluY3/ovbt6/a3H/51VX/xT+OTdd2s24259i2R0erRZPLLszOnFONmAGn6cXnl//wfw955LOH7fd+0H78uyktEA7jTz6+R02SYfiGv4yIBh5Se8Rh1qCuVhfdfL69fU3auwWMUcC4a1y4WSzGsu3ibHl0zmnm6LvN1Xi7ZqA0n237N8NuK1aQZdj1X714/c77737rO++1SYbtOMh0fO94lvEXT7dfff7V/YdNyWMMOu3Wm8trmcpmt+OYXPKUMzPNWkbFD95/lAK/8+Di+nbzi6+uFUOTmjaEoV/P5l2Zyunx8fHxkU09EXazdPzo4Ww+c2OOkRClFA6JOZobgTsDQFOHOyrF3QMCAOYsRJ4wEsdh2AcXYw+NCwCIsKOUctfbcAIEdC8u5s7MKLLfAwVHEsBiQEQuitkDB+BYbaEAwYE6hxDTNE5FlKKJoTlAbFXEzJg8BM7TpO4hsMhh8fChQafuABwohaZtCahrwrR59epH//3jX/uD/Wa3Olpi4jZ0IrbdXrdNy8fnw5Sh5OViNk359nrthicnbf/27fpP/ijJmwd//3+tDO7ojoRgV6/8y19Ccf/y682nf15+57Pl7/+XoTszKuSMzUKBqKJ37vzIAB5CIMsToJnn0HULfBAwFHAzK9NuP+z6ftrcXEneH5/fB2qHIZ+2izwNCKVpecz5aLWQvgCSE0zDdHp+enxvDpgTd6NuYtelZTtdTscr6RqZxgz13joVKNnR32x2CoG8JOKYAlM8WjYnp2m5WqGOP/rJs1wsBjlZLkAkhgSOKaZ7Z8dYpIwjlLJcrR5+9InnMaYExAAOxGBkAZFZckYiolDjBYnARcyMQuzmMwdFUODSOCoLBC4TUM5ugO4xxir7P4x8HExUqq8NFdDNiyIiB0YGVXCoinAEdmIKiZ2iQ1EFQEbKRVhEVdVN64DNLDYp5xxSRK1FhbuJ1+EZVnwbAjghpRgJGVNsGtu8+Gx1fn/x3vfzmKmLAD7vun3X5aFfLea9uoXQZ5nPl2Lbm9vro+MjQurjvUn1IYdv9kgAtHEXVCy0AMp7HP7Vf2ceT/72f0nN0sGwaTm2ut/V3o67OaChhQZJSgbsd9eyPLqXmiXGEAODATazArfj9JrdoJ2/eXvdzpbH50f7/ebi4bvb/VqIt9PLsIdx2zdMw7CH1Hzw8UMnmoVuv99nc1HebgYO4d2PHnHT9f2+5RCbxiED4s3tjgwS2eRsWtp5nM8X905bRLw4O/sX/+IP315vuo6PFymycSDiFsS4TDHQfDm7efuyjeHDb30UQ3RmR28ogFspQ5q3xqwiNZfazESVkBAQQ0x4wJgbkBuEwB5JrQcNRLFLTXEQVUDgwG5mUkd+yshOpOCmyoSqQsQohmiorkBepxbuqCbmBAGDp6a1KCVmHYF7U5MYYgCAah9zizHURxmYimWqKDeolEIkhBAQgN2BAjapMdUYcHP59N5HP9iPIxU3gnY2m+2H210WA2AmohTClKfl0WJ8O0wlMwc+urgU67764vFHn4gJORtYGYfiyIQOZK5WYPiTf8kPPzr63t9yJG5n1M399tJquiUiuKeHZxSbLoUGBFz6fndNAZvZKjYLdR92m+H2ar9+vd/ebtdDnwslarr54vR+AZ4mnSap4RkiLkX2256cXejhvXemYby5ud0XLxb6YZgt5sdn94CSi7hbM5tPZTI3NJ+lSFCvugEjrZZNQDk/O/nzP//JT3/+dLVc3D9fzWdtN2tDiGWcxt3ezB6+92Qy3e/3D5/cOz4/a5u2a+Z5MuNYnCCkEIKpIkDk4Go1Ji1UqyazVgyViEwZVCRnBwshxsrpZyLmpmkOf5spRAqBmEOIMVSYtFnJ2VRrxiFo1TEAB7SamKqCKm7FVKj6K93RnSJxjMQH/jBSnQ3V73Sw+4TAAKBmerg6V1MqHezd4BS4nc+g9DatQ4pShOorILmoyFSZtYToAFns+OxCRQggMK8Wq1dffPXss89iYENzVx16BKgJEwBASHi76X/4z2x/HTDAbEHzpRERGAIhIHZh9Xv/SZjPl+KSZt2wfjZsX01lSzxzwFyGyzcv11eXk9p+O4qPMbWYx9urS0pN28ZpnDbrXQCnQAwybvo8ZHWM7WI3TuI4CorDZje9++GHptpnRQrTrj8/fbg8undzdb3dj+MkTdtg5ALj8mieuni8TLMA++344x//9OSoOz6as0kzn6nj7fV6GiY0P71/Puz3zz7/4r3HT1an3Xx10qRuGsaYYtbCaIQwDAOHJKIGbg4hBlN1NTVFPnDK78aYB9qHSEF0RgZusCXJ2c05gCObE9XwZYQKtkfEnMURi2qgYK4Iio71VgJmqiUwTbk4sYlVKlsIJCaEaJUzS0BAyHx7uwkxcmB3D+xZS81kUNOizhwRyMxLESaoZlULIaDtbl7OH35PSlHRAjnGOGvaftg13dJEKsfCHJoQVa1tWskF5gtO6fbt29l8fvLwkZRi/d6tspwckB0BQ4KnX+yefbr6/kNywKoiAQVktMwffrf99n8YMHDg6BqPzz8Rm8ZxPQ17cdjcvNiubzHNrO9FaLNeL+bTFUxptTw6v7/ud7e7q26Wps2eyVMM426AEO49urdZX+83691+2ouOeTo/PS5jbpezT3/2+YMnD8nx+OzefLF6/fLSEc7vn12+vSKMs5ljoKOu9WmYrS5+8qOfnhwtLs5P3ArQDFNaX22H7WBCCBIIv/z5p4/OT1KyB+99PJsfj/sNMykQmOUyImHgWMpkrhVbLwVUrWKk0SiEUNt0dGevMhXJmZk8RLUMQiEmNfCAAbGMIzWBEKi4AAIDaIlMDiigxaVysxG5AvsAjZlqHjFCQPRRc5WKMxIGNMCqIBJzB+/m0RFVDAkZqSEqaoB4yMBWZrJo5mpSDB0gEiJEgvXrr1ZPvovEUnJkjil1s269vWk7GKapbVt3bVNTMQWiiiEQQIuUgl29fr08OmZiGPqgqEjgglTziIPupvHP/xXut7vP/sK+/gUTgxGYaMTFx7/q89PgTDEsRHcCOc5O0uJs2PfTsLvd786fXOx3/e16V9RS4hQBGEIK25v1sxdvH7x7VoY1g7nkdT/e7qeLd97bb3cAzevXlxhiRlodn/S7XZYylymmYEU4zVfHZ1LK06dPGY0YT85PbrcvAYERAgiD3VzeNoHPz7r5vMNwvB/17dur6+t1jJHYuhAhTx+88xBxOn3w8N6D9xFSinNAyVMGcxeJsRVTcA/ESFR9M4jAVT5nLrkcFNuuyBXvaSEGEXMgjg0gAUp0n0QAnSJ7Hf4hINc9gxnR3KjOpSKpOQG4WiCSUtPgkZDFxRACJVVDB8nZwJFChTlWrlObmmma1BwcOGBwEnN3ZAJ3UzVhE1U2AlFE5IgIQBj67a0MtzEux2mH1AL4bDY3daYAgCHEMpmIxkiqWn9SBAgxqpRpGH7yZ3/66N79sr82LI6IyHVcrmAAqH/5w5u/+iHlwshK8RAOMlu0D7+FSKGJjbs0s6UzAJKbI+7Gcbs6ejzmkachtUkuN03EaZrSrM2Cby/3RmHWzjbXt3m9h34aTWfLVSm6vd3udte7acI2nd27kH63Hfb33nlvv9uEEKb98O3f+c3l0epHf/qn+00fiEPgt1dv3GA1n1vJLdhysVLN9y5WyOSh3Q32+tWbm8vbedt4ySmk41nzwaOz2TyGdnH/w285k0pvrnmaDglwAFMeQuxAzQ0ErWreDix1R0QwVSSiEMxQQL2GqhLHxG4s6nUEAeBaplKEY1PjOCrfgc3NSdENnTBEdS06lczIDCR3OD5HwBhBJjICwEJeQDmwFoE7cPVBh1dHQ0TADlIpLVDzgc3AHdRUVEnQrJ6yQghsSGDby+fHT75vG815JEpm1HXzSkCu8zURCTHW2yIhUghUodLMnMvz5889nHare81w66KA4MQI6oDuyALIraKjgbkoeJzPcH4CbhXm5S7GISHxVEY1mx2dAYbx7demMozbtm2G3XU7a9HjJJhVjubBp54Ap+2eCDEwmA+b8fp6ZxxOHpxhCkSEUU+ak+XqaLfdWLGjR8ePHp/ncf/pT37WxJBLWF9dST/eOz+ahrGfptVydXY2m6/OhuKA3dXl9defP93vx7OzI89Zi3cB3v/g4cXZYn9ze//BB22zANFik6pNU0mpKcUMgAltGhG9VDwjauBEyA4GdLg/ewWaBkZ3VwnEDiaa3TVycq+hvBLbGWotGtjV7shppodLeMVhOLiSIyIhoJRMMdSjR8zAqOIaGYhCKA4xhFIEatuGgADcMcakUAI6GDlXyL7fXaHJAcQKCkIAUgPkMhVqCBlvXn558e53Fqtjl9HIAaidzaAOVcxKKfP5HAFyKW3bMpGKIBG4x5iKyKxthk9+U979TvQRP/8r+eWfkHkAVjRzR6ihWXgo5q0AN8CM4AEMmqbNU5YyEZBMfVbtjs7HvgfTaRpCmlkzxdJlQyiyJP/gyapdNpjl5eu3TJRFihkmB8qbff/ww2/NT5bTOLZdm6jrhymw6ihZ/cNPPpzPmr/6ix8HtDyV/XZ/smrOj+fX693N2/Ws6x5/9Oji4uy672OKN6/Xb15fm+jDe+dDv0Mpq+Vs0YXjRcuGTeoCx7Lfe0XpcUyMWiZ3QuQ8TXVsKw5A7FacCcCQUGtgXeQDDxY8hMjEpgJAIaCTqgCjqStgjE1EFdUKCTYzFSmmVvl8XKfw6A6oIpRIzRFRpUCNNlIhZmN0c8lFSiEkAKLAJefADABmJmrqGphVMwd2BDIK5tW0UPMHDFBRa5AeM5VswNqFON2+nTbXcXaRRchD0dy2LQDIHWvezEy1wjcrMJuZASDGOKOZTDmFmH2WF/dn994fL96Nf/Uv8tVlIHJy9JqwZX4QnhKU4qqAHJBDdsXAwLDfrLVM6I4OBDCM/TQVpnnRPaZ2dbI4PT92yYZg++nFZ19N28EcRyEHXi7nu23GkGbLxiRfnJ1aAhl9eby4ubkahvH973z8wQePr14/f/ns+WLWXN9sH9w/d7EXL96+fn2dmubXfuM7xw/uWepgK2+evby+vGHzJ/fPp37PidvlrN9sA7L0/cbKyel5QvBSjJ1iGIfe3YkCx0bdAKC4BGQEIEQPod4966lQRcpuHlJyrOgT5MB2SACvzMZSs5AMtabbmRUK0QuYi6i2XRIFVwdDQgai+YwMrGQtIrE5oJ8QMedsNcOXOViAQ6A8BOaayFElmyFwKRKZ3RydFdXpgJMyNyByJxFFAGAAyApoAIFRy/T6xeePf+XeoB7YHWA2m005F8kONZ3+kGJh7k2MIgIAqpqapmgxgJAaBGA3gCa+9129/1752R9Nn/5wkQcnNxM4JNugOfmwse0lnL0T3MnVrQZvaBETTp3kkqXksZRJkIMUP793eu+9R5evX8ooOo2bF2+suCH3Q77aDGf3VsNma97EtuuaaKCz5UIsO8FUdL/dH1+cfPe7H+xvbz7/9FOZCgdPRP3N/qvnr9bbwV2/96vfPjo/Ako3b2+219e536/mSdjQS2BACjKMZ8dLKnl7s247ljzkvGuXR6YAisxkpgcWpAkTO6G6MQSRElNyByQiDECOMaChF0GutiqWao8l4BCmYXQASo2V7CbVbgCHBCknDm2D1kQERKSpGBERoKOaFzV3DJRICaGiVlRcXVU9RBEljobiWQGgKhWrL44JzNxUEBjBmTBQvb6JmzJWl0LVrIF4LaGjieQRieDm5ZenT77tzIoWiEzU3CLHnHNKDRLVqUggqluOmaWmUTMr0sYoRSBEQqKA0mePM/ju3xrmJ/zVX6YXX2FgJi5g4IJOPgzDq6+ad381qIoDIFOWYkhSj3MyUXUgDsEpfPgrH0kZLr/6ahp6zZ77gRL1w7Bb53C8TBi6mMDFEM9Oj1zzk3eeQGoJWkZ4/dkvlyfH77z3JLj+4T//55r3Q9GT49XNzfrLp/04TYD+7e9+8t7H72WnoZ9kv4M8Pjw/3u2nvViTCNDLPn/w4bvHq/blF5/PVt2Td56A2bC+6W8uZ6vz+fG5ISAFJnYC0UKUAA7ahsh13bBbdRAR1VjZtvUafOlAlQsjh5wid9IyHjClQAqZCNGiq1SZHFWwASCnBA6mAq5gjmaRWA0kF6tHlwGFUIuVlFIRcQQnZAMkVFEzY2YRcfdq9qNAJhoiqjqIUwWKHiZHByyrGwBkKIjkMXC+vbx6+fXpo4+qrk9ViQgJmZlDdHM1wzutMTOXUoioiLgDM9d0IyJCB0RuAvc5zz76dXj8rZt/+4+Wl79wEWQ60BaLjJ//JXz7d8MkBRFNXFyzSBZF89KPU865jIhm0o+b3dRvpYir5z7v1tupl2Ecn3zr3ZMHD/7yf/hxQKXEyKHtAgbImkk8pvlmcxtaXs5Sy8PPf/rlZz/7/Hg5i126fHs77ErO6iD/4d/9m8cXZ8Vw7HPe3LYRLdIw7FLbdu2y36xxKu88unjwzv3V0Xy4vnSnOF/NupnmAqTr1y/3m+vjR++lLpacuQEgra40dzdXDIzVoUQA6MShRlM5IBG619sQoSOziWUkIEC36F5MjYgJQYoQhupcMnPwQ94YIUvO6EpmDhXMYqI5QJ2NgboruCOaqlcEhFYZqjrA3ZTeqvWluunAHNFT4pxLDEFV/1qejpXeiuioZlNBd1HyUfbbzc3Jo8rVJjMDRjzM7KiUEu+uVN+I1TmE+id19RxenogCOUJMgZkGavTX/6P97rvtpz+Ml18QBiGPFvWLz7c//0PKqlJXsqEqAcZ+txs3N9urZ0jDvKWTGQYuiTlPeX293d/upixG/IO/+Tf+xu//qntOaJRSt5wzeJfSrJuFSFO/G7dv83Y9a5o2ljfPnz97/rY9OhmHcXO1eft6M5s1KPvf+/3fuP/huya8vlznzQ3KVFS6+fL+w0dNQ+N2M6339y5OPvnuJyenJzZMi/mCTQg8xg4A0mx1//1vNbP562df5bEPbQohBE4cgBCoAoEJKcaqcKIQDIqWYnqI50Hk2t1XyEhAyOToqhyQYwecxKyIVi4hAhIQczCo9GBH8MDogECBY6wd4ESRgBAUTYnZcjFXJ1JTNycgJnQ3BFM1N6uMfiIKIYRIhpqYImMIFAIwVwOwEwIiBmKsjENAMx9z2U15KNotlsiBMHgNsgKIIbh7KUVVY4zuXgcN9Vek2ukRAFcrIRJVIymCiTIHd2y7tDg6ap58j3/z71u7AjR2d3DeD9s//ichhFDLtDyN07BzG4dhjWjg/fHxchx2Yz/td+P6cn99u9Oi52dnIaVulj74zkdp1qV02c671IQYY2ypmSdwNS2b25tAwaQs2vbm8mq3s7Zb9bv15U2/ms3Wu/XZav7t773/8L1HZSevn7+YzVvuEmLsmtbR+su3cnlNY3n86MHpg3ur4+Nx2I37zfJoKeNgWogpBNZSODUX735IT79ev3y2vK/d/DjE5I5W0y2rVcQzEaKTlzpDZTzEs1idEDGziJmjAyGK+eSmqkAUzDRwxFpG1Z4dAHPIOkVzASDg6rgQzY5IHEpRcwJMiIZuxHU+UUXI6Fqz/dhQyRwdrYZF0iGdKoTgRVUsREYwIsiTqBgAu5kDROYDPeCQL6Ri0M0XpnfxQgdwsRPRlLOI1E8Z/71ILL9zDdd9NKWUc3b3GELJEpgdMYTARHka6eSeHV/Y8zVwtHr2vbgKw/ZaRMx0GrZmIwaaL1tgkhFuri6v32xePX+73fQGdP7OexcPTpuuXW8H1DE2XQwJqCyOZ4mYUJt5i1TvKYUJb69vT89mY3+73WaOR+i43YzbvTah5HHaI7zz+MkgsL18MZsRghJw13TjsPEy5s2mCeniyb12NZstWyv7ab/u5vPEUcYhj5O7MrG4GgA6z46OxEvimKchlxxSG0IDNZ270oFNAANQdEJDRDtYQtWsbrtETAHRtIzZDZAqphLqQiFwBxcDMzMz4jBu9z/7N3/8K7/9N9J8Xi9BGMiV3A0qddBRS3ZXDAEQXMUNzVBKMVU+APQdDN2MAtUAnDoeCYeV5GDAAE0K22mbqHUKh3loPebq2WNGIbazhTuoCodQTJFCrV9KKRVVFkJwrxwgjyHc4RlcVBGgZu/UwyznDACpbWtB3bStSjF3NPKAxAfyb8jT6FpExhCAQkeBpjxtbq7Xb95srm53uxLC7Pzxyfx4+eC992Oim8u3ZZgC6WI+3+1uFsvm+HhpZVydzgZbOIdx2MD1OO2HFGDK/bjLKg2zvnz5WtXOHt9bv3y5SN04ltvrXWyum8hEsFguians142X26vrZLx6dM6JmUKg0G/2ZN4tl7N21m9umXR/e7M4OkFQd9Npj00TIjlTtzhGsb7fKPUhtpC6mg0GHICYiA6yfnBiynlMqXOzwOgOY78nNHQnJDU5mNfI3FHVaunAHJCKS0Erj959wCn4AYHkDFBdKDWlw0Td/Y6e6+RmCmaUYjLSKU/kYGJEzMxqjuAByRGkBv66uxsjiyq4LeZzOyAzsRKNCdlA3UysNPOzbn60n9RUMIQiMouxz5mZa3ZwXQRmRiH0fY+IqlpLoYoZFXVzKGKIxDE4IhEfeCpEbdNtzBgd7aASdIdQpl0Aj20I8yRDvnr19vLtpWlerI5Wj49XTLdvX7vZ+f378+PF9vrVtNuQFlM1E9MpxaZdJI6z1enxKh71+6nf3IaUZCwx4O5quF2LWcab3aR0enZv2O/NgzuK6Pb66uzipD0+Xyxmw7AhILIy7ocH9x/oMFGklFIZJ80TEM+6VWpbdaSQJO+Je/VVnROkdpHmi+H20i0TqBHNlydWpmkahv226WYUIhInTuYKjoQJANUU0YqODoQGiM5MWopXi3WIkid0V1Xi6sx2ZHQVcAPT+WI5+96ROVguCkghSp7ANTCas5nVBBGTynJ3cmCAkGJMjSPorUouxOzulX9t1bSoBuAiyhyQKtOnuoAQqJKLK2wCiBGM3F1FUjszg3oOlpwPMa531EAOod6q2rYtpZRSZrOZHWpkDyHU1ZBSEpGcc0oJEWMMdWNDjm45FIG7boK7E2JounT26MHY919/+umzz7925/nZ+YMPHo7DAIYcmmk3Lo9m50+evHz6xe2rF9OuOLkiOjWcuqOTdn2zbZdHq5OL283ADrv1PgZ2AHW73ejbyxGhmEHo5ouV7Dfbx+8+ePv0GRPtd31MIUaUcR/d9jfbrgln988IaTdOTKyieRiQ8ejsIsXGDTiG5dHxzYs1z9xK4YDMHJisFAQMRF4kNDNRA25Dy5iKmZhkAi6izoGYTQSZgdBNKzbPamNL9QCeMShjAURTqUBLE48cDN3NCFBYyTgjkKqhYwwKSLHhioozA5tU1B2ACBTQTEWJkcBKzoCIxVwMIhPXCGMzNbwDIYG7San7Swh0kPO5At7xkrxmdUIl6ITUSZGKYnK1lBIg1tMKifiuZ313/nLt7ogcEmKJSGsWk7mqhQAxxrpREREy2bDD/aa+yIHOhBhOH9x7+ulnP/+zPw+Aq9N7J4/fOb7/YBizeYhAXbcwHVcn3c2bV5uXz/N+Ctz0/Q6axTDJydHZdtc3icBwsThj7H/x+tOj02MHmy/aly/Xb1/vd7ve0BGhhfjlF1/+2m985+R4+frLp1A0+8TALYP0Owc+PTmad23p9xSa0DSIqEUIadEuEjG6q1rqYn2vU2pnXVvAORFy0H5LKc0WpyVnB2NCMUVCxsQcTRUcHVnVvPKH3C0DQX1PFUAOnw4BAFktA0yBwFSZEQ/cAjZMyMqMhoWlAHqgoBRAi5mDMbodUPE1H97REIAZD7msigQpJenSJMVEIaCqV5tudeYiEhGaCgGaGwGlAGZ+R81xYz/gORAJUJVWF4+QOJfSNMTMw2YLczTTaRpN7VDlhAM/r66JWjLX8rne4St3oX4FjrWCbpomA9qbV2W4jRTruqlLkH76b//kp3/4706PT9/7/g8++LUfnNx/UGQCk9OTh6vFfNy+5hQxxv7yJU7FRIep79e7/c122Pcptd180S3mb9+85aZV1KbjEFjEbm+Hz37x6vXl1pHMsO91e7s7Ol6++9G7N9fXx0dLdg8eNfemUxPnR0fHJ6enKcZqVBj3PYJP43B0chw4IXGgEJB0mmQaQgxABBAIgrkD2DD0TTvHEJDJRcEdodJLCpgFohC5Itb/+sk2Q3CTbHlyVcuiJauIFnWrDFOr5YnmCU1qaFEtHUycKMQYKHJIkRECkwcwdHBjrEAEDiFUiWpIkQKLGRAB+DSNDtZ2KaUEjgBo6lUZSIcYEGQiREBApsPrADrVJBUCCsABA6GZ0mz54L2PiqpMuYlN3T3atgPCpmvVLKb4zdZSURV3C8UQsXYj74YhoZSMiESoqsxs5oxur7+kbwJK7jpDYf328ru/+bePHz6eSk+A075317btQoI8Kod40rXPfvHL3eV11WQu2sVObrbjfixSS/zE8fKrN1/+8pfHxw0Z9LueAvajrLd5LCUkkOyTeJHh3XceT/2o/XB6dry5umbV7e3m4eN7gcNifhpjGMta1SWPgVlKZiZqW25m3C4IzHWPltF1ebQE8DFvAzUU436/DoHms6VX9Z0qAMFBXQmApGBgYiqEXBuyzIGINWciQkbAalCrsdaurkygBsSMVqfHzhwOsw5zQpdSkNkxuAtjrUa5mBgiGscaJikSYjQEdeTIFEjV6vw1Bna3Q5cS6lgNERAO7EjnuxmFg4NDSNFK1dU7OpCBmxNSL/Lwk+928+P1zbaddwW85Nx2napwiGrmCG3bikjt7tQFURdQXQHfxKOIiEjJeYoxqpuLEyISwzCOX3+aOBlqZVHXBUTf+q3/4PTJ45RiQpY8uOZpex05SCklj0Xy+ubWczHJeZr2NzsnnB8vx3H65c8/74fJQaSUvNv89I9/uF9fbddXQz9yaJ8+eyNqMaWawd5PU57kzeXlzfPnAf3iwXkKjK55HJhosToC9zzsrQiFMAyDmBLHbr5Moe3mCzSRXAiCm8XZwiEAIBED+jRsQGS+PDEOVBPRwMAFtHqvDF0AjBAYEExVsptkyWYCVDmlpqI1YRXc3RW0uJTqkq17OCAdJKJkGAg4pHZGxAQEBmYZwMDNEWJMtWEChA5Q4/fMxFyQnAkjUQxMRIEDMzVtJEZOXHuFiTkhEYGqMWDd4wCNTGNgQMeKM3RwVSLzFD/47g/cAVSRCMymktvZTESoco3VCKka9pi55FwXjYjw3Vd1Xrj7lAUAQwjqZoQQyAmmV5/79WukOyZuHcWb0Xx5FLm2imjst21Ks8WRqg7b27HfkEvbtm3bySD7q30Z5M2z10cnR92s+fKLl19+8Yv99s1u2HCX3r68/eynX25ve4L09ddv31z1gDwOsu8nQOQQC/LzL54x0cn9szRLR6crUwncnJ4+TKFDQgAsojpNt1eXTdumtmnaiK7TfivTiKbTuFczTnM1cnBFnLQnhNXywpQIsMhEXg0v2UDNRFXEVEqpDHYAO/xXiStbSaVM01DKUDMetH7GWDEhjghVf15E1AAxIAUkB1YnqzBZphC5QQ9AITUdIMYYiYmaRLOGIsUmxEjMTBiqih2JiAmZAofAnGJMIcbAIbGhIXgiToGZkAADM2INvzsw3LDWwMzDNC3vv9cd38tSsuQYwzAMTdMgYc7ZzEMI9X5OAIxY05Pq3E5U6xH210uBGNzbbiaqZkbmpsZmm7/606TF7QATqnsVIgbwWjcbBkI3NAttN017L1NAKFkcCxFJFi0q0xTBv/ry9YPHFz//+bOf/egL+ehYc0khjFP/6advnzw+KzK+fXPNsRun3ZinyGzq06TIvL3tKQRAjyE0MTAQU3CDPOxEc7/bacnXr193TRObtmlbz2IGKSZARocQhSNbEZeSfWpXi1l3BsBjHhnZymRgzFEQ6sSKVM3cmeCujUHkUKUmDlZRMyEwBnA0NUemEAmiaQGzeowBVWEqurm6ExAgEbWqCqQAFZIFDszQuBuCqzsQuHvgZCKkTk5EUHvMB6oocUC0og4QY0AUQ3J3TlzdE8gIADUPLQJ5IDMLdMhMNkBgnIw/+f5vOwbRydynUorKcrEYhgEApmly99lsVoWIhOimtTFk7rW1E2NgZncLgYsAOMwXCyCqfU0nGHc3V19++phTBf7aQX6B5h7AzQyyDMScUhz2Ow3MnGJoVEoIabPZ5GFwD2WS+s9efvXq7c0OKHz2s9dlt793EsysbZtt1qw0jkPe55IlZ2EkNzU8EH1ibCQPXWyzWdvEtkkEevvymbrFrg0xTeMYUjNbrJarI/OSukW3OEZmlQPMcXtzTQjzoyVQCtSqGFJomlked1IyQ5iKVEWOiGANeTdDQ3ODQMWEITCiVWFGoLvzPrg7mNbCFCkACxkRIBDl2siv3V8EoFgnlBjIxClSKROahdSWMoIZUmWzOTBxTEoGd1hUYXPFg6sG3PBQzbg7IDkoIyCh11RS1Up6B3NEqno9QgVkByu9PPzoe+cPPyiqrtAtV26eYgLAcRg4hDq1CCGYm7pFjgZORHUiwoh2GKocgktFdT8OqWuh3v7RmNKzV6+2u50tUiBwccBDce0EgZiQMLgDctMdb4a3CKQEbjJNY2CWPJVxUDUgcDEClDxcPi8Ww6KLT7+WaHOdCoEjUC7e7yYQLWNBZ3Bpm2RuKRAhtRFJZdruVydHISVkb2ZNN18hBXHfXb3aXl+fnJ9zbJmDi8a2SymKOgP0w1UZdsvVWbs8dsexz2YeUzAXd0SiwLFMk5oSB2RGqM1gR3PyGrYCqDXOEJDQQBC4otqI2BGq9q9WLbU0UjUiIkQVAcJDADiQg4gZIDF3aK5Ytpvr1eqciIUiuIUUaiItoBMgJqzoQSYkJhEp04Tg3ER3d1EmVqngI8DgVA2EABAwhGhFwZEUnLzmY4sKpPnHv/G3xTkgTrksl0sRqcqyKh9LKa03m7OzM7jjsTu4qDAzIOZSQmBVYw4IrDpN01QvX2BOTEaAZm+vXk8i7hGBDP/6tCKHgN9MQ8CQwiR9i0vJGWwat2tOidGt1LechiyDDJPGYrpfb1M4vt1PL99Y44rcLBbLq6sNFB3HsQpf7l0swHyz7QkQTZZt0HGgkACgaZspy6P33m+X893Nul/fbG6vzh88apZzxJi6ljXNZstShlIKKnTN6SwdFy1mAMBd29Y8B9HJ1AJGA2MmZha1OgSoA2ZyqA+IilKlHRPVLj4AAGjgWDU7NTnLVQHcDvxhJPDApGYAzoBuIOqGzAR5vx9K6Y7OsFstU1d9XhRaKSMFwBBMxB1Mzet8Aw5VNwKSu0hBJAxUAMFLdK9eczcF98TB3aUO27GyJg/+PTMrxR5+8v12dTpl2dxsKm8q57xcLm9ubpj5+vp6eXQEAPP5HO6iPUsp9a5eax1m5hDM3DSryjiOtTVQUe2M5CW/evlsUekWJgBY67QqWg6ubkWIKZdpGofIASzbWACDiLlNjqBkQC5ZYmwvt+O+qLvP2mbfj4TNdgfYxflq9uLN9bbAcLNFsvfffdy0vLm5urmZuqZxyefzdhFjCPHiyePj87NXnz9PKc1n8/XN2/7mctz3pxf3uqPjppkxIiAQ+Zh3ZJhCCqlzINPsRcnRDpGTtV6M6FolOOYBkAKbFnWz2op0dwOqItBaZmoNW5YcY6qwFGaqslQ0ACC/y3mu1Y6Zq2oIbIAId/Ie12F9vV6vH66WruQKVQPk6shIxG7EgdzJvVQfb+Xju4C7IkZidEMRJcQYWOvlUA2oZv6BgwZic3NURlJGKEruis7O84tHYjoNgwEsVquh3y+7TvJUr9lmFkM4aC20PjNo6owkIoGDqIY6azNVkdQ0+/1+Pp+7+zRNXdu6eT/u128uV9xQjZl0J7SaKQZOQabJD4yVHCkxN9O0EXFKbACllGmc+uvt9nrnxLuxv1735uQIIZBooUjGHGdzzZqzbzbDvJ1/+NHF5vb29mW/6TMCR9BlhxerZnayWF08nB2dyjitr69WR4ux3wzba3I7f/TObHkWu1kF9ztY23UATB6BgoKCmrkhB6RQYxACxRobbF5ECoAzh1K1gOCAQEA13xvcVCuowRnRQStAW9UosoPWyBmkCvavPaFD40vuBsqHRv5B2eSAePT40fLBfXcFMEdw8YBkIA7gbkQHMiiHYJW9r66mHAKAiwhSAAMmRCno6AjKSIGtKBqAWyBScXKyWq8RS+UiqZdAYbEa+n6axvlyKVIYEYnXt7cYwm63my+X4zTVGxYAuEjVA7m7ijLxN+oxQIwp1U7PbDYTkRijA5ib5HEcBojkJmhqUP9D4EbAFlwVI7spO4vIMGxEtZRCECjEPE6btzc3b66ZeKfT5c2AgXMei+Oq6ZZtE2NwwpvrnU25z3Zxsfzw0enYb8ZtX0QX84ZMlk2YNRFiszztQiAU2b69Gnf9g3cemo5HJxer43tpvgRnmfaIEFNLFAiYHA8IcmAg5iZgSlrdsHjQ3AAdbMBairtWuQIFHKeM7hyCoxeZ3DmECERiSniH5KzqBc1IjBQcvNo3idhdDtRIMKyQaYMKKgR0UHWvjvCDCBkpIqObIgHDoeWPQIigANVoXC0FqhpDYCLJxapoKIBXOawZmAOzqpHXV0OiiEh2CLCAKZs35x//zu/EtCrjNJvPAVFKbmLqhwGZVRUA2q59++btkydPvrlO119rS7D+NqWkqkzEzJvNBuCAUz4MthB3m/Uw7u2DR0ff/ySPPY6j5MGnyYZBiwQBq7Gfo0zrm7dFShZBCgrgzLvtZtxvjo67zThtLwdycPPQxFWgrgnZYD5rd+uN9eX8bPWbv/akbaG/vd1Nulx0bWc6TWfHJyGEm9stma4WK5mGYUfrm9sQ6Pj0fLV8EGddMzthTlomAGduAJBidDcgdkNi95qXTIQWAcylAGgdDLmrSnFzdNitN02KGIM7MCHW6F2pvWNSEQKCQ7M4AjOCWZkcTUUQgYgNBZyAnLFW08zmqkrIZkBEYGJSEAMigmWqej1AInIwdwcD5qi1J1yfbHAiNvcq+QgAYFC3QTQjJsYISOaK2UUKAQIzGrpJVvEUgAwUp2Km2N3/4MG3fgtnZybSzhbuXsYxcEDm7X7XtO3N+vb06Fim7KIxBCLKJccYEbGU0jRN/bnqAqq/mlmRQnxoebk7Io1jvrp85TLSvQ/v/af/q71sOINYARcvo5Uc1NRcpv1uv7tVKQTsKpzibr/Lwz7nsVl0/X68ur5Vd0WcyrRsmouz+SiuA8lUUkzLd09+63d/tYExT1MTAuplHkugUKTd99Ptrs9ZYxPMoGm7XMb19evTs9N7T94/OrlPAcBBxsFV0BgC1xEVYTSpDZJaeZA7UKyBmmAqjqAmrg5A7gURQ4gQCAObCAU+hBwQHuqbQ1y31y6t6lTziKEm7JFUa6h7AQCgYIeA8wBE7qaiwcBlLPstt4vQNJxYpCARKrpMZmCm7oaKtfdKRALOHAARRbjKccysTosqjf9OGwHqwMxt6+45FysswICuZXL3yVC5Pf/wbywffwt5ZgIpJgCYxiHESEQ3Nzez2Wy92cy62Wq1+uEPf/je++8fVKRFmtTU2XhVX1RBYJ1bVRGSqdVhBRGkGM0kBHzx9IsYuO97I8c4dzT0DhwgGQOGMgxT7ksZxmEwoOLm4LnkYX+t48Cu6/1uuxnIKRIvGjyZhaJ+tZ4KpaOzk0XHD89XH390D0gCdbPZgvDStUVY3VzupmFwjrtpmnVtTAmZRa30I2h58KmfgAIAADSsSURBVO63Th4+cWSAgkhEXlRTO+OYkKlGxlebN1YxtqO7c02cpuAI6E7oBuSVTUXenRyDu4ERsVbdr1kdZRGzgQMxAtVA8roWkcjUFRxM3JQoAAICKaipoIEjqNeDjJEJAMKMiIMbIjKxm5qIMkVEp0BAVI0TxOQE7OTuzEQpqigSoysYmDkyAQGq0CHxwx3RzBiJYnB0xgTZp6K9hpMnn5y++72QjgWB0GMgcOv7ARCR6fb2tmnbnDMSnZ6ePn36tGmabjarc7SDTOLOvFfv8CFUqLSbeQg0TVPFUoYQQgg559366ur1i6Zpdq+fvfxX/+cUkocWQgBOnhLFeRh2t/2wn/IACG6YRcUNyWYdZ0p5HJfLNjU87LOqWi7bvTy/zm/6aT4L6LpcLX/wm7+iZdt2q0A0Tdsp02YTrl6vZSzm4cXbDRBxwKZpd7fr1fHx9c3V8dn5gw8/TKlxdeYG3Bxjig1zrHKFmsVEkRkJKp7eHcXUDQ5XK0R1NCQwINxfXxNTd3xRPzY/5EBVnwESoh40nVWPbrW1SkRM5OiOzpxcSyk9cUTjak1zYkYmEzMlDGbmwJg6rygaB0RG4hDv/CvoZgXwQAdlxGrJcNfqbFGXmu+BiCpqUggphFjPNVMLTGXKdbucpBRI7f13H37wq+3iIhdR1UBMzAAwDCMQNk2z225DCFJKPwzz2ezyzZvNdnvv4UNmZsR+mmJKRHR7u14uV65GAEX1mxl4jGEch/V6XZdUZccECl9//tMGdaQ4Xl/d/H/+r6kOlomBwQmdUthsNv2wN1cKwdVLHmMbT++djGUPm3J0Pislt5JmszRt+9fj+Pq23A756Gjx5PxiddL+vb/7WzFYkx4i5dubF5vN8NWnl/16M+9mG5c362GcdLmk8+Pler2+9/Cov7mGPD7+zm8fnT8MAdVMc+HAITR1tOPgbsZIgFBTeayCcLTOJt1MiYiQgB0rqxV4efHITNUInQ7xlo61fDkkCBOZm5sAIriao9+J6GogcZ2x15GqeQGjytJRvCuTPYuWEILZISSm1sJVRk58qHjAHdzECiKbmbsxJbeD1AYONX7jYCFQnrK6cApYpXpkpurMMowF2/nj7x4//FZcPsgl51wQIbVtPWhyznX/2O/3tdovOR+tVre3t7e3t8vVarVadW2bp6nkvFgu9/s9gMfIJmrupRQAaNu2bkVXV5chhJTSOI5d2+U8ucmrp58zEYAWxNFS6+pOwcCLqxt6Dtv9NueMCFQKoh6fLttFK1Y4hcXRvAyjSRz7Ydr1z99sr7a2kym5nc9b1e3f/IPfRygmWBotQ3/9dvP006/Q8P7Ds/XNDuJsNsOxn1bzbj/2Z/cfxMBltz5/9M7xg/csa8mFYgpNB4iIfDcMQiIGN6wVhhkciPpoqghEyFj7vI7ECQisFORIHEEEgF0B0Igrdkm+0Zd4PdndzLz6vtXszouEpWRTrD1D8Kq6YndxU+RICA7615u8Hh7QGjFWASvgZGru5G61Y4uIREmyIpnVxnTtTRd1MARvFp271yF5BSCIevYULt4/e/TtbnXmhjmL6+EcqXPK6nBQ1SIC7k3TiOrxycn15eV+twsxnp+fd22LhDfX17PZzM1evnz58NFDZnLVFOO+7+fzuaqmlNw953zv3r1hGHa7/uT4RNVk6ku/ZUJEELfe/Ay1AAODK4AjEIRJjYAkD2cPLo7OF00XVb2C7PK4R8Bhs91txlfP1jl7k0LH4ezRSTMPf/M//q3VEd6+fRnSEsbx+tnX2/XN8VkTUre+3Bk1p2cn128+O16lIZdH779PnjUPIcR7739MNQEGowObk5uFCIgsRZi5+sDFlKrXzuuzAVT3IeKa7AWIhg5gdCgWkJCUFLzK8kBRQLkiLBzcTA/RhbUEckVCRDIPAGqaCbi2BIlZQNnL9sXz7fX1g1/5FZwt2aMBOggHBHUwUxMAQEdDzOLMCuR1j2QKh/JcjQAIlALWc9ShXtWCiiAFUyEmFVfTUSzMH58//GR5/MSM+3EoUggxpATV8CSC5jFEUen3PQSOISj4YrF4/erV9dVV03VnZ2dt25rZsN13XbdcLt+8eaOlzNvO3UNK4zjWkrlumuM4rlYrqopbNzNDCp9/+lfkhcACakaYFDwCKAAd/hmCBx327PrOe49P3nkEDEAIIqrQcgKZbl7fbG72t1e7JrULz2/ebI7aZtbgh9965+x0/uKXn6V2MeVx2HweyM/uHTGHty/WMtnR+TkAn50ttn1uQrq9vHzn3kIlnz/+aLZcUQiIDR5kkhQ4QJVrExg4IQIhI6O7mZs7cqgUX8LKnGJHMhETdapuqdq3QPCA6G5CHpAiYAErYGAmB8+R2iGiEElF7yIvrV6yHRwBVKUK2U8fPSaX/e3beQxKzZ3KgoDADluFYUA3I0IEclQO9W4drfr30PDg/RVXIaS7/ClGZDcBVBGYCgjNV+98vLr/CXMzjTLJ6G5t0xCRiCDgOI6ASMxZym63o4oPIwoxvHjxYtjvF8slEXWzWd0ah2E4Pj4ehmG9Xt+/f9/dRUTNVIQQAzMguvtmszH3YRxMbT6b9fs+xvDyq8/aGMZxQiJzGJEBxMncGD0DiM0X4eG9VXe2mB+fcYxIVIrE0KTkb15+uX77Ou+yZD29fz72efPzl2eL48Xxgmfxo+9+9Pz51zqJsuf9y4vzRbG4ODp6/ey5Fm/my9XxyX6zCSnZbsy79XvfeYTmL57dvPvJCXqKlABrVXMnJDcDAyCqMBJyr9crJ6gMNTdAoFpN1ju2I0AITIgAItndEdldzRTRnUyNXL2CJACAQ3AFRA6BzeRO5e0qmQmZuMon71IuCYgsdst3PhEZEEAtA3LtRlIgNGCm6qiMgVXFHYgDcyA6wCvMwb0EbsDBIAAjugcKAqLiYAxeFHCANh49OL/4EJsTLWXs9+oWYuQUq1ZYRMiBic2973tHbLpOcp4vFlPJr56/ALP5YnG7Xr///vt13axvb+fzuYjc3Nw0TdN1naoOw5BSKjnPus7vvm5ub2fz2WK+IMBxGCag9fVr1qHyVNzRgPeu4AwgIKoRF7/zd1a//ndCd9ZhDA6MHIE8ALrKm2df99sNe0MEi+M2hvb6zYvZfLE8Ph6n/tu//u39bj2No4pMt9fvf3QPQlp1J69fPpXsgZvZ0Yl70dK7g4J87/vvtik+/eJNwMCBmq5BN1MjjAQIiFWW6QSADGrIEUDQyeskGRjcCR2gUtnMTN0A7yzUKlKlW0jAIaKSuwJqRHdg9YjkgodeS03IQ441YMbB2AGpFsOKAE4AiAYEqu4jUSBqHSUEcg/VnWQCiMHQOJHkYqZ2N7qqREEAI0I1YY4AxhTJMasDAToyRggqXvocoLk4u/dhbM5Mfex7KTm2zaKd5ZxLzt/I+VRkzGN1D84WC1UtxJdvrsZhWC4WWct+6N97//2268o0Xb59u1qtEHG/3+/3+8ePHzPzNE0AsN/vY4y1VIopvX7zplqMoebHAsxms1/8+F8ntlIO3REC6OHwpjqVxQ9+//Tv/c89NSHOunZ+TGkRU9Tc395ev33xwmU0TB7S/OKYobz64hUUPr13PAz9xXsPVsfts6dfWtbtZvdrv/Gd0ITULvvtTXCyHLhpmq4rMiyPTtY3u9/4nU8I+Mc//HTVLbjJMVbtAgZkcHYEIKzWQySqGppDhkq9FpkjBERzUK9pLsCmIGZ0t11x/WuBDPzgB7ZaYZuBA5OrIzKYmck30uw7RxFyqCFrcNB4GyCBalH1FGucFhMnq2IZNWaqkKYaxRsiuwbwBPQNbtYByEwJOXA0V0cCdyQAJ0cwlV5hgPn84Uez1SMDHIdSyoiIzXwG7tM01YthfRNyrih7ns/mREHF9tt9P/Rd056dnu73+367ee/990MIOU9vXr9eLpeqent7O47jgwcPqil4HEcRqQPOKk8uOW+32ylPKaZpmubz+Xqznfbr3eXzVSBVQkACQMBJoEQiVVgtl7/2B5CW6z//p2G2fDBbzIF0fXX96tkz9JFJC89NPQbWcXr17O3Vq83Zxf2pH5ng+N5pP6zLuJfJT8/OuuOliksRyZMWV+AHj5+Y51BsP8nH3/1AVP/sD3+8X08z5sU8xJiotmpq6XtIXScAI2JEDomrwbu29hEd0IiDqTuYV04iVqd0MdMKjyEGMwfVuxa7OUdAhiIIFcaN4FkrchaxzrDMgYAcrc4L7vLnqvirKjmNmN1F3UU9cgRAEWEK9cYERKoOgMhUb+qBGtFiZsxBVVS9/oSiVoXQ2WCwJizunR8/QY550pLHQGE2m9UZk1cGYE25Bsg5I2LTztq2AYD9dp+nqWmarm1zzvv9XlSePHmHmff7vt/vjo+PSym3t7dm9uDBgxjjfr8vpex2uxhjnVtVDeGzZ8+yyGw2H4ZhtVptNpuj5fLP//CfddHcyc1rVmVgmiQLeONKyzkdPbLS7z7/cYht3PfD5csX129e3r9/sd3606+vZscnD+6tbi/3X/zsaRnl/qMHFlzcF2en80Xz6tnXi+VqC/27v/KReyBQsUyUxj4/fP/jpo27260AP3zn9Muf/vwv/uhnBNQ1xKjzo9MY2VUQIzJ5TVxHAEKmBpEqd8JcAkdAcHFH0jK+/frlyf0H1DQAho5I6EFNKKVgpkhs7oBSMdsAwKFBUzsYIMXdJGc3cYKayYJV1ACGNQXTa5ZPlZEffAJaxEoGDIBEwIFDnagffJquKsoxUIwHeITpHfWCCauVGCOzeA3f06wmMIfZebe4iHGuKv12X4oul4sYY/5GcG7GiJNIyYWYmtQ2TQtoUvI0FUKcL2a73U4FmybMl7OQopYy7Pcqpevafr9//fr10dHR2fl5vUC52tAP4HDvwQMzc4DNbrfdbtvZrEPc9/1itdzttkVt+/b5tHtxvmzLqEilxpqbuVAU146gTFnybaJ7Rx/8arh6e/n66fPl0dEn3/vu0y+eX7/dn5ydztrZX/zpl5/97Pm9k/OHD+4T0Ob6ejZbNF1DZMuTYwQ6im1oWwIoZSQipXZ2Mp8tjof9DTCfnZ29/uKLn//ZZyk2zBDQ2iauVsfd/LjKqgDR0QBIrTKUvhnwOroBMDhiiIZmm+3LP//D9Nt/++idd00FgRwdgTgiEaKBeUAAJnLQGpdbFXEAFZrm6MQxuLOqVHWBqBAiBRIp9ZIOSMhc6a+qWp10NYONGQ2r563uMYdugbshAAPWs8xq6xoBwJGIAgCAAaNjFjFNU7wXjx7O24U6DEMZx97dFotFnSuFEESkVvS5FERcLpfICEbTNE3TiAQppr4f8n6azxcxNDGyge2H3lWZqe/z9fX1br9/9OjR8fHxOAz1Gdjth9PT89liPuU8TWM9udq2jTG+ffu2Ltkxa9umP/mX//2HF3PJ6q5Us0ErqS7rJNKx+Waz//In4eEn8+//QXj6+fOH7z0+Obn46V/+dHP19sGD89tt/9/9wz969rq/uHfenRxZJHVj52G3O3tyjiiLeXd1tb44fxCJpN8TglOD4MvVyi2nYNkgl/L6y6dtCNR1Oo5MHNt4fHHRzFburlbJSeCKeEddIKzvvmNkRwJkdEe3eHz6K3/3P02LlRMSBAJUU0L2+jFSNdSxmugh+gPrPQyAEFmro4/ZzZCiu3GIFSJAGBAxBKw+c8TKKSJEVCmOzpFrMoOrSskhBDNAINXDuMdreQxISI7uhhTqyCjW/G/R4phKOInH9xdp5kDjJFOeYkyr1fIbT0I9R4gIzGIITUpM5GZjnvIkbh5jUpVxGlMTl6t5jKlkHcdRtCDTvu9vb27HcVwdHT18/ERVhnEkxNlshszHp2eqst/3u/1uGsdaJvtdRXV6erLZbE6Ojv/43/zT8w4aZEdgwrpuCMHRFFGJwNHLNPzJP2uOjtr3fyO8/91vB0r/6p//m5PjxdHR/Kd/+dkXT9frvb7/Kx/v1tvbbb86OjIuJ/dn29vN/ftH3ZLWtxOoUkSb+hAxxG7S1G8vl4tWVSKDyzSWPSM4Wh6G4LZcdakNi9P7hEm01CfY3I2Uwc0DOIsYMDo5GQaueV8AABRn3fnCVc3B0QQAKKEd7Cw1xQ7cwJAwOoqIujsQabVUs7uJqrkCMAOCgYXUVgBxcLeKYiRGpBoFYO6IxGCqUPXotYdoksFJkat2VUvhEJ0MAa1Oygqi1dtqkGJZVPCIF/dSWtaGp6owh/l8bneMrTqSrBVxVWaJqpQyTVPJuUpc6zV5vpiJWQVrmploVpN6hxL1xer4ybvHUkqdM4QYVqsVE5tCv+tv1rcVAnd0ciqllDIVKf0wFJV935+enP30R39++fXPf/O7T8qYCQwRayvECEWKA2QARGJEf3V5/f/+b8LFPwtf/uzzpz9/eu/+imT6iz/74umLdbOa/Y3f/PVsMO/4nXdO33lyHHx6+/RZKdPqeIVRu5nEpo+pyTnPFysDZG40l2nYxUj7YVcGaZKMw0AOgL6YtYtlWp2dL47vmwPSAV4H7GSISO5UVJm5Rvcws9RBFWHFqGHVTxAg8kG0h+4Q6iUJA6gpkII7eKi6cWdCRJMilhkJCVWdAZGi1eVHwbXUJjQjGggBM4O7k4OaM0UHAjTR0e8s325maGZQmcjmThwAEIGcCBiKW4CQBTLPPNzntIztTFUrmmQ2m9e5NBzIOAcP7zduuhofWRWiAFhKiSk1bWemqqLmbodZnohcXV3VS1MICZF2m62KFM3Hx8eL5aLksh/7PJVhHClwpVuUUkzVzXPOOecY43K12u92f/HH/+J3v/+YazwzfCOkdXcnrIxMJyZBAOawHezmF+EXP/7s/oOzJoYf/vGnX7/YnD+4/yvfeX92suSQ2vY879ZXL18Gna5evI2xyyrLWUrcMAZ0b5oI6BhT3knDbR57Auh3G4bl2I+WTd2XR/NFFynA2b3HTXfkrlghAeDghhgOXRBmZ8L6GdTsScSA6E5uIGDI5EiIlMVi24x9UUkOYACB3UAQTItULZ85mmV0UClmmtEJsDbayRmRq9CTMDKoSXG0mmNOVK97VdOhUPWljiKlcnqkCDBCDW8GP9CQiA9TMjRA7pXS6hHSosIt8zQNU25SXC4WOZc6BIgxVn0MItYInHqZqodIzllEurbrZp05mMpmuzPTmFJ1hNXJ+Xw+R8RxHMdhZ2Ypxvl83s6OAHB9sybCWHshgaecvxEKFhETSSnFlFQNzP7v/81/9esfnl0sF3nKYAcb851SDQiZEMFLZaAhQAHDwOHsZIUqP/2rVy9eb+89vvf+R+8cnx+187TZbiQjQV6sYgAe1kkBiUlL2a3XhMSYp70sUjvsx5sXV1ZcLGfVUrxbxnK5FtWY4mLRRtTZfLk6ewfMDWpMobs7Azq5gTkABUY6jKMPKW8OBaH6r8zIlYBb8GSUMC5tNvCyYw7IXFvGCKAmjiBS3M1dwc21lGlyUyuD5cGtSCluk8sgLkiAwIbqYsQMqEiMSFYl5hV7YwBIzEHVKvVCrGLBnAjNxXRCaMGU0IsAd6dp9citQXdCzKWI2elyFVMa81SLdGauG0+tVWvF0/d9ZZoQ8aztACEX2W0HkeLuMSZmcqg3diyluMEwjSJ5Nuu6o65rO2bOJU/jhERd1yLROE15EnPNecxSUkoRU9s2ZnHKIyF3Xfy//Nf/1aOz5uN3zsiciDAwqGAdxNRJYcUdon9zASUiVws26fXN+NWLy3c/fO+d9x8enS8UZMpwen6ynCUvt13Hw3q9mXV5BMnbCWC7uUZqVJVCYMJ+e7PfbZja+bzZXr2hZqEm09RTE7uGAxsTnVw8DG0HLqgGkao+ISAVrx4ycgQwRyIBE0B1dmO1QO2SQhOoA2agSEToCETcHNV5OgBgqDi+CvVDCFIBNCJC4NS5Q71CgZtqKWBZpp3KKONOhm0Z14Aju1aRszsgEMVUaW3Vx4kYEIWYtUwAYOKIWF0C4tmdkWgkxtlFmj8qHsGNiIZxbNr2dLUyOxig6naSUprP59/UqsMwDMMQQmiaJqZUct5vd+M0UeC26dp2DocuuOacxzEP/aheSp5Wq6Pl8tzd+mHcD/0Br5GSqk7TVFRVbZoO+81yuWyaRkVyKf0wLReLGOj/9f/4v928ef6bv/f9JgYpylS3VLZxBAS6a8HXWsHd7iZFAIgB0K9v1h989M7Dd+8zuwOkbvH4g8ddBO03N1f+5uV6d717+aKfzZt+t2EyVWMCkxxiUhtNJgYuu3E77TRnR1HbomST0nUhBWyX8+XFw0TRxxHaWaXOAkCFi9UrIAAWQINgOAduMc45ziJHrM5rcFMHBAUDd6q0CEcDRzoorszMVO+0NXf2yjsUyIE17IDUELcUlsBopuimMtm4Lf1tzttp3MC0BR1CxTVWAwyAoyORq4FU/TzRnTgcHMRQFRf3P4D2PGfDICGmXErTtqdnpyoqroC42WxCCEdHR3W8sN1up2kax9HMuq6rPIr9bieqbdsul0vHQz2kqv1+3O22ooUIu1nD3I3jUEq+urpiDm3XEZOZVRnJod0KgAhd1zETM5nbNE7jOHHg4+NlyfJP/r//6Mtf/mTeUmIzVQdQE3Cl2qeFg0bWvADWsJVDnVWfzCDm9x7f5zam6IhwvJi3J8txu3n28vlwczvu8/ryhsT79Tibz3frnn3SAjFYHoY8TgU05xEhEIjkbEowlXG72b54TS6L5YyiHZ3fa7oTcW/bBghFDTAaqgYyh1zMsIHYercKPGviDIiQuHpf3My8iiWgxvu4H2olToGJEaDOMetIXVUr7rW2/O4a1l5Xa51vihkCgoAdJqOJZxdxca9zAzOddmP/Ju8vh90lSM9g6JVi4WZGMZFDLtm1wlOwqFqZmosPMJ1LASSOqUHEhLg6OjLzImIq280WkWKIwzACeM65lExEq9WqjvTdnUMgogbR3cUOuohpmsZhVPWmTatmsR+GcZyG/rZtm8XR0azrqoOlYnIA4C6v1GJMVi+fbtfXV2M/rFZHs/k8j/nF0+c/+8mPv/70x8sumuSuaYijWSEOFYhYWcGIpJLdzRQhYaXVISKo1WQaBMKuSyEox+bp8xf2khsGdtleb9Bgc7PT4qbSzNr9dpNQhtGZqQeZ9tNRORkHVVgIFHNo5isVDULKcHJ23i27dhUX5+9T6EJkrXb52Ih5MRQBo5baE04LamYOgZHAa/SqmNc14UwspgDgVr14lGJTdYL1HRdVRESwEJKZx5isbkGq31BkrFrBK+7VDwTQA2fpDhqCVQ/UHM1nJ93JR0sdxn6T16/HzWvIt6ADOCIoBWYLqopuVTBv3YOTs48dmNlj04QYETHFBIamNo6TiEyTXF1erZaLkIKKqQox1ltP/TrUpER1HAF33hciWiwXZrDvd5vtNsZ4cnp6fsFEVFvnCJBirIkTdb+pwTNm2vf9mKecJ3A4Oz8F4qvry363+/qLX7z46mfLGQ7FmxRnMTKh0YEH5Q6G8I2mBxG58poNHeybJzCASowNTuXl2xtvl5NBk9JgZXd7u73aINPtemTg+6erm8vbo/myoI67kloTmXSY1re3QJ2WolmxMn/Aht0mLbvVxQknnK/uRz7iECAkBQIHzTYqYnvC7UnbHQExVN6niXKdbVWsB8T6gm7VMEUxEhERg9d7kB7QJ7XqNnNz9dqSxnrPDsyH7u/d/aJi/Q9v8WFXp3onreeaikoRJDBv2sX9xeqh6pjHTb95O21eyv4KvCAjaq7Zu1Oms3e+7cjgQByatnOr3gp293GcShbmMAz784uT3W4fYmyaBrGpPpz68XAI9WwtpUTmbzh+fsdvA8JuNuMYquZryllNGdBUAREAqpyyzkoRUVVrGi0Fapo05XF9eztNebPZvnr6+Zvnn57Mgk7ca+7mbbuYoRfUghVjWCX7gbFY7YyhC9ZkeMTDJu8cMFAK/uzp28u1TTQUwGGQlkbL2Qos56lMwA31UxZRGWamU+BmvR4XnUgvyApcXBWJnYiJxvUtYl4uj7rTZYppvrzPbYshFnM1mwQoLpvTh9weESVzk1LqFBoQmb6BBdX0QygqWIk1REQITneZt+amVo31d6YQd6synlqC0B1hWutsAeAgmTgQXB2RK2wGK7/LjClgjRg2AXYzmcSJOHbnp4sLvf+RDNv9+sX+9Rdlek2OhFY8xHZhjozYzWaMPElGwsmmyuWrlsrTk5Ncpvv3743jWFGFy8WiDh9EBAkjsakaHyYhdcsxs3Ec+76va11EpnFiolxyzplDSDHOFwtkrk4rMwOicRzVrF7izGzKBcA056vrzdXV6/Wbr8+WydUnAgJYzLtApKO6uZoAoDuAKbtRbfObg3tQRaohYVAlCcEAP/35q1++3D57uxmn7ISzpvvg4RGYsGOT4mLWuQgTo+t+u5vNWaSUoqOKjuJAYmW2mhs4etlt+tB4d3rero6AmOIMaI7Ek0iexHgVj95pl/ecUBVE8t1GjSmllJLdcRCLFGZ2c6YapVtpJuBmZn4QCLuZa8A7qyXioTNrVmqSeZUFutfFp6pQ5zII9bl018O4kdDVq5TC3ZGQKaIb2YGdZmYi5o6cjo8fnKzufau/fbl9/dXm6ovsELnlriWiEGLJcuhJgplZ0yY8oPkO+dSzWYdIzNx1Xe3wNk0DAKUc0rJyyVWjU39sAEgp1f9L7QNJkUPSEUKFKQNyDVCepklESm1Gl1IVhiJCxMRptmhePb08W7VWxgJaqZdt01I1DdjhTnBA2QOquQOpSRMwMYJ94yJFIw/PX1w/u8lfvr7OUoCoCbFLWKY862jeNF0bF/NZv90hEDg0qSk2EUZUk9HyqGYli3IamnYOVOany5AAoc0AJ6sL9xaD5yzFW149mR89ZEoVs4VGiIREldtrZhUlVJPIidnh4GO1Oz0bIpo6AqpZ9eYRhAMCGv76MlJfrT61dekc6mUAAAiBVeWuqqjac/c7Rf3d0VZvVIfzou5VKoocihR3R0zzs/eWp++d9r+6263jcsbYIIFoMXcmNlNAa5pYv+Mope26wJxLrguCmYtIHUEQkRQRkaZp3I1jBwBSDisAD4+NA8A371U9VbKIigCA6FRyBUUPFX/ZdV0drHqFsZp/+ctffPqTP1q11kYuwooVeVkBrlUgy1USUO/eBmh2YMNHcsbDpRwOzfwUvnyxXQ+GSG5QFRHj5Hw0n82arkkIFhi6rh36cdHNttt+tkwQm1z2pbgVVfXiFnYbjnx0ehp5MvCiOl+eTAMuFqsiCLOT+cn73KzEwTQX1cCJQyCqDButm0ptS3zDAam7CBJFovrc1x246ouR8EBzvVsU9TP4ZsXgXURZLesOoRtVhkNc8aaHXBZEAFRVQACwao524lJKlVYQVQsxuwNT1XWoG4gZxsXJxbG7iWgZS4yRYlDzseQ2hYPX2ImQY0wAQGhN24CrmeVSYlWJIIzTKGbk2HWL65vbNy9fpJTarsNDuiNIKQAgqlpnFA6iUs2N1VqUUmLm+Xz+jWm8liwly5s3b55/9Ys3Tz89WWAXCQ0AAcGArOI8kJAYAartTD2bHxjgWL87mRN47b4dyiGH8MtnlxRi4iiYtRROMRfdjeUiLGJgQiq5hBCaFKRk7tjU1UvOblrYhIENTcYxBAiN7a5GDO3ybLHvZbbo9gLLi08Wq8cinks2R0Zo0qy6eet8pII8Kq+PmetO47WjYFZKUdGaP0iIGBiZU8vuVQiK3yyyurzq03l4cfr3yqC7P3TVwyGICIAihkilSN2YCAmr5suUEOCQ+AGqB4TT3XZVCaDIRKb1B6AYo5lXHYCoEDe1qDczIq6azhACABb1UopkdTWRYmbDMBDy9ub2l7/8+c3V64vze93yuC3LJqUmplqbImJqGqlzLrM2xcoUxDt2ThVv1M3VTK1YlvLi2dPPfvJnWG4uVvD/L+tqeuRIjuuLiMyq6u75IGdILndX1GoNfa2wggVYMmAYsH3xP/fNB8M6WJYsy5Il27vcGc5Xf1VmRoQPkdXk2n0imo3unqroyIgXL97LMqrWsBwFohgI1XpuGmi5xe50pN9ggKg6w8TcEUEJYiL1VE11rmPOwzhoq81MJN8+bF9frc/GBIcp1JtZg3ti0WpzO3BekTu0qkOG3NTOLs+/+eNtHs8++uzN7uFRdYXx9fknPximzdNhTiwkiQhMibBoKXwgg0jCKSdfJBGxCIPDkXKiYVgOJbgaEYdeINC9nBaVSZwmLx8+Osl80ZnWxX8qLkbr9jTsZBr67USJ2d2zpBaCwsJq1lrr3xloteWcQ+NcRCKTx1SSmXPKj4+PSVKSgRe99FivNPeqsQNKpZTdbktEeRgcONb58vnmzWdfwrhUIza4EZO5C9BqPe72rdVhHLt9MLMvFyrKmtNFaM2a6R//83e/+qd/eDbpNIlA3GLoR32piGItTZcGtP8UmQiLZaOZOXxgT1B1J2KDN1OAksGInbwlZ3UkluC47Y+ztXVg/JI453zc7pWymsu4XuVcDraf914L0Xi2mv7tn393/b3vfef7n799e1tnOf/ou1effWng/eE4jisP4QCIcBJihakrLMTJ+9FTjrOqpiHHM9z5vDG/NWIJic3Yrov6I+4HFpUyLCcXFie6SDxRci6lcU9C7s5McE/RrxOpUQzRbEldGuuhCHKHR4iYRbMWYwucqlft/EMD0Wq1JoK1Zt7Isypq2TWrAIEpKn0i5HG4HJ6nlBxwwzStzD6B6UmHK7aePnDr1PiTVVur6nNx4XEYmAgBZ+QcqXqu5Xf//tuHm68uz8+1PDUnJrdaQehOJwB5Zm9qFsuTxB6CDh6wYCD2DphNHN4pZG4ACbG6JiGMhEvxgelW8qHCSxGiu6f54ytFEpgLaFyvVoOqq7t49WbVWzT9gPmx2Juf/PjFdz79/a//o9n46Rd/ef3mzw9HZW7DMDFlB3Ia3AHyqjXq3FBX4KWBYuacM0snmTdtsvjIgXs5GzfVlvWziBVaat1TFMbREBli6c766zsM6HFNbHljd3dhppROtXbEWRQDCKIMx5KPe9Af3MJ/7PT+zOzmtRRiGoZBQ5qaCWYslDlRqCb4t2J9v997N3XT2MgQ4Vpb9Aq+/IXWWpzjICIWTrDmqno4Hs26mv/xeHx8fHraPt3d3Q85PX/5enj98fHweNzel939dJbm464cj6bG4OqLfKEHTYDIKSJV1cLdFnBiGamad/J1l1YFp4n5meCVOItv51o4JREF3W/LN7dP6XqznsZWwILL87XVWooNGyGHeCrNybAa8tXHHznwm3/8pQzPPvv53zz/9PuHuaQhJxmYkrmLpOi6HYjRjIOGnCOZSw8XX6TXUrTZJzJUJOfTWUYfHFWne2AfPBaM0D7UBY5imUXcTHsFi47rfBBAUYTGdjiAelpZj3eIeBUiC4gfpbb4MhFY5hZgrog4d1UARRPmcDzOKbda31fxsQjLompEyUxdNUp4682ReazUpERm8Q+omvswDFybBrWjFABRtJ1tzs/OLmqd7+/unnZzKZD8fLi8Ont+9snF2buv/vD17/+1lWPk1t1uX+biqoEjocPrgYAgCEKDqEOILC4zEYwkvUj2WtJ1hrHsmt7VUhsRUCC32/J8M7G0Wmy9mYhpbnT/cHxOab8/xqLONI7DOD3eb999/XD24pM3P/+7zYvP52MbpzVLRmwdCKk2U+vWd+geZe4euSHmBiDKQw7Vuw/vJZaS2ZddISwg/SmMzAzOBHa8Hz4gOonehVJ0ImpKLAKPM9QCRSQQcVg8iGTvZBxzWDbtZXOS8Dkz6wC1mRH8tIgecUk90zDMRLJZMzNhdiIQmzvUAIiww7vFVS+6w5UVHL6I0SH3HY9ExNZNHtnMUqLIgiSCVokIS3yb6eFwMLWc0ovr6/l4rK2VWm9vbu9+/6dxvX796uV4fnP39R9iVKUKM0vEFeKo3QjM4XBjakbemgzaD0944PhEnn66Gc5EVkk4JXB92+ptE4KBcbffb4/TOOWU+XB4mtbn212pc3t6nEstzy7XyTPcRBJ8uHh59dGXf03jy1LaxfkmygFy1Da3wywyMAk5gQDGkHMoy58SSUqZhE/nDhYwhhe7jVNGidB573TaW3iOMXcscQIwNbiTQL3bbGJRCo4sbQ7tOQy1VQIDQgu9Ht2bITYgNepoCIU1X+hZqGqrzWqPJmOk5fu31saUhfjYShfMZQG8aV0q0Fg1VtXWTcucAlbxRQ8b8bO3SDEws5MVSMx8rTU1ba3FRMLNUkqbzSbwz9B4W202qdY182qabm9u3t3e/ObXd1fPL/LZ8927b6q2zXoSCQgH5CGGB4AsyN6qBBsNIRvuvTkXONIPn60yCxFL4tVAX7XhuJN4gVCaZ1M1mnwY8+6pSp42G1utV+dpY+2gzZKIwoeL6+/+xd+XvElwZDS4MLvqYd6qhkoIIRGzDONgZtHw04IUE5E7wdDchhQyb66mMeLpCWN5RKxEWljEDJZTxq2rsnXxY9em0abp0l754peJhVrgjiiq1DTm1dQnHUShNVyqEBvBFyCbqU+WkwgkR7ccjUpguKrqaiklI3JCEgHBFaHtnVImIhEjQpzjzHyy54zHstqKaOJaa4BFhjOz1goRkSk5c8rWWmKOO11qdXcRWU9TDzVVqzVGIg8PaQDd3G5fXH9nPpT29NXV+TVB22LkVIuadv0OD5Ua2JoY0CB2OgxIBqQX57EAxWAbOX2S6LdtflKQ2LG0m5xev7pYX5wJ4/Fhf3ZxPmyuyFrdz9ZqGkRW025nb370C968mO/ePXv9XIa1GkxLq6W2JmkAd46iajvslYhSzrR4C/YCIlxwHaWU4JyklNKQU868hI73FZb3rWRwU7x37Y0RzQ6HBIE3IycWjm7qwyOP6GSsGms3DLOuhh6HoCkTtB9DKUIzIgrwphYfFFL0kVTMHR5WiQrgWGYq8zAMDqg5M8xazmMoW9OCSKlqa7parb5VxS/JdXnGmYk5Y0E+RZiZYqdMW8M4RggCOJbSWjscDrVWMws+UDQB0cbO85xSOhzbp5//8Jubm1cvLtygSg5rGkaoAasD6uaeCcLdv3J5GJzT+ZjBoqaONK7SZxfr64eHrbsZJYeM47haH3a1uJUKIiplrsdCreVMOaenp/LyB78Ynn16d3NzdXVtxqSmMFc7Ho5JkgCm6u7NPXqo+AkGsaIHBOCqvcWF55xXq4mZOYkDEsQGs1O71LuePsmFLToXTosyHwjWQTx3N0Ow3U4V0in9fIiF9Ofj19YBeSYnV4WZpKQO1aZqQlSPFWQiXLtarJmbOZgSAGawCBNrLfGHoI9KNCqSGE4FWhhaPPF9TqGzHExYXtb7ROkG99Ra09J7dbNmrm4eWUe1WWtBfw7BJQCHw2Ge5+uXL+7v7x8fHpv79YuXX/z0Z5tpJmdyq8VbC/+KpZRzM7Nsngl9zoVlmRiUxkGaw4koZTN7vc6vp/SnWgyihHdPu6/f3n/88mKeD3mcVJUcQMoTT9nnqk2uzt/85O7u8fLiwiS78HzcgXi/O0zTKjCR2mbmNOQh50zcoUw4aq3BNO2LEDkTITHHYgARhbp4KHydzql+lZe4cSJJSaPvALrqmzk5uxmWADNT5kT03kss8B5VdVUn8khF1qtdhpjDiUOYq2e7WogsIn9aj2YOkDrXZg4lZjczaswBdKNqY3cSDhQ0JkqqGrc/ouf0fb7V4i3RE//bB3Oh3WOmZvHaIBBLIjSGo7TCRGPOlYipw63B2bi7u4tL6m6r1Wqe591u9/bd7Rc//mJ4+kMrW23tm69vWLIMrK6hwBpdZiYA1kyB1GXwmJgpheUcOaw1qK+G4dOz1b/s2zuFmDbVXZmJXdUGN3cydxEQS631aR5+9Fd/e7+vH716AUm1VACt1cD6upu36jANSRJ5h1xrm9VcDTnnnNPp92RuBCK1OOCjh4/T/YNELafE3hsBA4WHuREQ8n0eHOVYC1SHM5jE3ZgYCJcpip4lOOsBVOsyNgegnhxmTR3O1FvCnIdhmAKMDrdOZl6pl1YM5k62QEGlFGZOeSjhBcG0BIQCBiw1frCrAsRiOSUY6xoM5uEoQxz3LEooNzOYu8XsM945nIiCIRmfHl1FCN5uNpu3b7/ebret1ai0UuLHx7t9sdX6UucnbbbZrB2YazUn9T42dsdAzH2txghs3ilgyYhdPe5Zay0Jv9rkZ+xbQx5GdR1Wq8eH3fl6nXI/xdWpzvN8rNc//NlTk6vLSxCO5biapv32KCJ5GIQkZ5GUYtVBVYWh6vVYm5aUxs35OTNHj+XuZmFzZ+7GACc5ATanNL7k/PeFwqk5X9C/Tsh1h2q4o5H282zpt09sZTPEL/40dTeLqVDIvDGRexcjiHTgbgQmYlNFFyG0WPNwcndlSXBxxziORKGZ4kT24TSNiMP818yCOMDM81xkITGqaebEYCOChG6rIXjUOZmaqxH7PM/MPM9zqfUUKHGthmGotUYOI6KQ8Vqv16UU1XY47IdhMm2HeVeOc10nb26q4zQeDgePyYQZLTSMMSEzsacaAgYEjx2WzKm0Fue6QRx2MclHm+F2r3Mz43QsbsIpJ2auRY+HOec05JSvXo7Xb86fXfFqmucijIf7uyxJM0+baRpXRLzoYRsxmGiej3Bar87yOEZ+OkF8/VwPDIYpOg5ZDv4PibcnogKABdEPKRMyM2Is/QgiaccdiqabibW1ISUAEAHcjCKyZJHqc3cwscFh1MvpkCiIn5uFGDcRuVrgLkHRiG3D0GGJ2yaSAGf20wBERIhMe5XdhT4ApJTGYXhfOKvGiMM0ROMNQVWqIQDj7o1FzF1y3kwTuWuttelxPtZ5jg3A2BWMwVls7VxeXt7e3t7d3c5zubh8fv+n+3KcbZUsHPy0BUnS4eo2u6ob3Ecy8thFCJdDD/5caq0RrEVdwERp3KT6aky/fCpN+dlmPJQ6D+P+cEw5tXL0isyEaXr5Z18OZ5thPZVmbOampjjU49XZdeQPU4VDUiJ3a5jrMeWc0mCEWosDHGOM+IETuXuweiUlqDerNfybqEfS/yl3loZLF/TYTwON0zFHsS7qMCx7AiIEtKZEsM7QeI+mnFJdxAoYxABcmOAszMGRdygYBuLcp1pELJwjiQKIxcqwSCIzIZCw9bP1PQE5xZ4TAO9NQETPOI5xfwJRdPfaNFwYa6ulHGFejvtYGELvC92dUh7PhyFEtVutMa4vpUzTNAzDdrudpvHi4tnjw8PT9oGZ//t//uvV+ScGdbfaNGpIbQEkkRIb2kjqxOEFpm5gjqFiUgb5smjTrJUywD+a0jXz/OyZWn3a7lEL63R1dckyGJTHYXr2cnr+ajy/fDrMY87kbS51u99fbM6E+HisOaEPH2xmIRYGsRtrcxFv2oIw4u45Z4ASJyMPXi1KSSR5yCwcAP+p3Pn/mPKpDDodXqcTLXLVqXXq3VO8IETCmGMuEUDfKRzNnCRY9R04xmnurW7mThYfTsyqJzCGT3VbcLL6KNW9NpWU3BVGzCTC+ODwDV+qeMSnHLpIBQXwk1KKeagkcErDeKatDUN2R0SJmdXaam1BsYwrFrIHm81mu90+PT211vb7/Xa7LaWoeZnrOIx3t28fbviF9Msb/YvB1QwODqsVDolFATzCBh5glfU+XYgkMZk743qdrrL86vGugS7X519td9erQcRzHgArzvnylaVxf9glTqpq7tv9XgZixjzPYxbVVmsVAUNUwyGBtFcUC/sY3WQ1GG6SEzGNqxWAxCIisfVDy8T7dGPwbfzjFDG6KEmfJpe9zmEWZupcQPf3VXan3p1CsOceEJkz3E1PzwfDJ3y2+uf2tzrNfXDCu08KBAxGpIXosqJogkV4OTSn4Xi0IBTFqm+EYefPBEG71r5FJMnhTSsH0mwqwjmn6BZFGuC1lsB49vt91MvTNF1dXZVSQvbr8fH+7Ox8Pubd4Qivu/vbVy82rSNlMLyHTwnEDqFM0JgxqjWmBBDI/xdz0edyrNZuxQAAAABJRU5ErkJggg==",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=190x240 at 0x7FA298BD32B0>"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "url = \"https://live.staticflickr.com/7442/9509564504_21d2dc42e1_z.jpg\"\n",
        "# load the image as PIL object from url\n",
        "celeb = get_image(url)\n",
        "celeb.resize((190,240))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "AawLTyz01l5f",
        "outputId": "43571907-4c85-4ee3-a303-9eaedbcbe181"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/f7cyXplSWuYFX1e7JxcNMiRfbaH.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Jennifer Lawrence</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/qpSUiChjYsgsFhaBNtPRNATkqx3.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Aislyn Watson</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/8ZYFDTg7qVripncGatvG7ufxeyx.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Carrie Underwood</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/1midcRjbkFrMX3km1290Jlwf6xi.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Carissa Capobianco</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/djzcylhUn3FzpKFrwHQbhbZqMpn.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Kimberley Klaver</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/l3wEP7cqUYQs9qzbWkx05zTpMnN.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Esti Ginzburg</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 257
        },
        "id": "_JeTYocVBWIm",
        "outputId": "99933f53-4ef4-4994-f01e-e1ae7cdaf8a3"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=190x240 at 0x7FA298BABEE0>"
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "url = \"https://live.staticflickr.com/3563/3304692615_bc67db2606_z.jpg\"\n",
        "# load the image as PIL object from url\n",
        "celeb = get_image(url)\n",
        "celeb.resize((190,240))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        },
        "id": "5SCSPdm97iRG",
        "outputId": "bc75637f-e5da-4209-828d-4ad859042964"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "        <div style=\"display: flex; flex-flow: row wrap; text-align: center;\">\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/ajNaPmXVVMJFg9GWmu6MJzTaXdV.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Brad Pitt</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/boqqxkt8GcjCUmUsGRFzr3rSTDh.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Peter M. Lenkov</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/wWRbCMgZnG6ItMBcMHsJ495FrU8.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Micha\u0142 Lewandowski</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/b19aJzhUAfyQXd0mtmDvLAyOth8.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Luke Arnold</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/hiuSdXFjI7EIMv8Y83zh2KtGbbk.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>David Berry</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "            <figure style=\"margin: 5px !important;\">\n",
              "                <img src=\"https://image.tmdb.org/t/p/h632/w2oRqYtVa8B3ALOrBqajwp72YQf.jpg\" style=\"width: 190px; height: 240px; border-radius: 10px;\" >\n",
              "                <figcaption>Marco Quaglia</figcaption>\n",
              "            </figure>\n",
              "        \n",
              "        </div>\n",
              "    "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "find_similar_faces(celeb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JoyTYb9xPScm"
      },
      "source": [
        "As we can see, the search result correctly identifies the celebrity in the picture as the top match and also finds other celebrities with similar facial features."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YR3ZyvPmP9gt"
      },
      "source": [
        "# Example Application"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fo_yNO3oQAV4"
      },
      "source": [
        "Are you curious if you share a resemblance with a famous celebrity? Try this [demo app](https://huggingface.co/spaces/pinecone/find-your-celebrity-match), which has been built based on this notebook, to find out."
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "gpuClass": "standard",
    "kernelspec": {
      "display_name": "base",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.13 (default, Mar 28 2022, 06:59:08) [MSC v.1916 64 bit (AMD64)]"
    },
    "vscode": {
      "interpreter": {
        "hash": "5fe10bf018ef3e697f9035d60bf60847932a12bface18908407fd371fe880db9"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}